Cited by 183Statistical Methods and Bayesian InferenceOptimal Experimental Design MethodsGenetics and Plant Breeding

Bayesian Analysis of Agricultural Field Experiments

Besag, Julian, Higdon, David·1999·Journal of the Royal Statistical Society Series B: Statistical Methodology

Abstract

Summary: The paper describes Bayesian analysis for agricultural field experiments, a topic that has received very little previous attention, despite a vast frequentist literature. Adoption of the Bayesian paradigm simplifies the interpretation of the results, especially in ranking and selection. Also, complex formulations can be analysed with comparative ease, by using Markov chain Monte Carlo methods. A key ingredient in the approach is the need for spatial representations of the unobserved fertility patterns. This is discussed in detail. Problems caused by outliers and by jumps in fertility are tackled via hierarchical t formulations that may find use in other contexts. The paper includes three analyses of variety trials for yield and one example involving binary data; none is entirely straightforward. Some comparisons with frequentist analyses are made.

Integrity signals

Registry

Crossref · 10.1111/1467-9868.00201

Cites

100 of 100 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

1 of 42 cited sources checked · 1 supported · 0 flagged

  • Findingown data

    A simple RCB decomposition of the El Batán data suggests a strong spatial pattern in the residuals.

    “A simple RCB decomposition of the data suggests a strong spatial pattern in the residuals, so that naõÈ ve variety estimates have little worth.”
    Quote in the paperSubstantial claim
  • Findingnone given

    Under the hierarchical-t formulation, 90% credible intervals are sometimes shorter than their counterparts, despite the extra modelling flexibility.

    “Note that the credible intervals in the hierarchical-t formulation are sometimes shorter than their counterparts, despite the additional ¯exibility in the modelling.”
    Quote in the paperNot a substantial claim
  • Findingreasoning

    The standard deviations and corresponding standard errors for variety differences also agree closely between the basic Bayesian and frequentist extended first-differences analyses.

    “The same holds for the standard deviations and corresponding standard errors for variety dierences.”
    Quote in the paperNot a substantial claim
  • Findingown data

    The data show evidence of aberrations, including outliers and jumps in fertility.

    “However, there is also evidence that the data contain aberrations, in the form of outliers and jumps in fertility.”
    Quote in the paperSubstantial claim
  • Findingcitation

    The basic Bayesian decomposition closely agrees with the decomposition obtained when Gaussian fertility increments are replaced by Laplace increments or by Brownian motion.

    “This agrees closely with the decomposition when Gaussian fertility increments are replaced by Laplace ones, as in Besag and Higdon (1993), or by Brownian motion, as described in Section 2.3.3.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Besag and Higdon (1993)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. 58
  • May combine two claims. 61
  • The quote only partly states this claim. 2
  • Classified as probably not a substantial claim.

    Premisecitation

    Combined effects of pollinator behaviour, out-crossing rates and pollen pool contribution would seem to bestow an advantage on the white allele.

    “However, the combined eects of factors, such as pollinator behaviour, out-crossing rates and the contribution to the pollen pool, would seem to bestow an advantage on the white allele (Rausher and Fry, 1993).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Rausher and Fry, 1993 source
  • May combine two claims.

    Findingnone given

    One-dimensional fertility adjustment is sufficient for the El Batán example but not for the other three applications.

    “One-dimensional fertility adjustment is sucient in this example but not in the other three.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The posterior probability that P has maximal effect is 0.38; for P or E it is 0.72; for P, E or V it is 0.87.

    “The posterior probability that P has maximal eect is 0.38; for either P or E this probability is 0.72, and for P, E or V it is 0.87.”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Findingreasoning

    The standard errors for the incomplete-block analyses of the corn trials are noticeably larger than the Bayesian posterior standard deviations.

    “The standard errors for the incomplete-block analyses are noticeably larger and this may re¯ect the strong row orientation of the blocks.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingreasoning

    The locally quadratic Bayesian fertility model produces the same ranking of strawberry varieties, but its posterior means differ a little because it absorbs arbitrary row and column effects.

    “the locally quadratic Bayesian fertility model produces the same ranking of varieties but, because it absorbs arbitrary row and column eects, the posterior means are a little dierent”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the morning-glory seed counts, there are 1277 zeros; non-zero counts range from 1 to 1665, with median 98 and mean 197.

    “There are 1277 0s, indicated by white pixels.The non-zero counts range between 1 and 1665, with a median of 98 and mean of 197.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Variety 1 has a suspiciously large yield in the final replicate and is therefore penalized by the t-analysis.

    “Variety 1 has a suspiciously large yield in the ®nal replicate and hence is penalized by the t-analysis.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Variety 20 has one of the lowest yields in the final replicate but otherwise performs very well, and its mean is enhanced by the t-analysis.

    “Variety 20 has one of the lowest yields in the ®nal replicate but otherwise performs very well.Its mean is enhanced by the t-analysis”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Variety 4 has posterior probability about 0.5 of being best and probability above 0.9 of being among the top five.

    “variety 4 has posterior probability about 0:5 of being best and probability in excess of 0:9 of being among the best ®ve.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    For an 18 by 11 lay-out with ρ=1/2, the ratio of maximum to minimum variance of adjacent plot fertility differences is 1.39 without virtual plots; adding borders of widths 2 and 3 reduces it to 1.02 and 1.01.

    “As a numerical example, relevant to Section 6, consider an 18 Â 11 lay-out and suppose that 1 2 .Then, without virtual plots, the ratio of the maximum to the minimum of var i À j for i $ j is 1.39.However, with the inclusion of borders of widths 2 and 3 respectively, the ratio drops to 1.02 and 1.01 for the original pairs of plots”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Unmeasured plot effects were originally allowed in the morning-glory model but proved negligible and were omitted.

    “Originally, we also allowed p to depend on a vector of unmeasured plot eects but these proved to be negligible and were subsequently omitted.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingreasoning

    There is a substantial improvement in consistency between individual and combined results when Gaussian rather than uniform variety priors are used, because of additional shrinkage.

    “Finally, as we might expect, there is a substantial improvement in consistency between the individual and combined results when Gaussian, rather than uniform, variety priors are used, because of the additional shrinkage.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The t-analysis suggests a fall in fertility in the first replicate between varieties 10 and 11, which demotes variety 10 and promotes variety 11.

    “This analysis also suggests a fall in fertility in the ®rst replicate between varieties 10 and 11, which therefore demotes the former and promotes the latter.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    There is an almost linear decrease in fertility from left to right in each row, but it is so slight (0.04-0.06) that the adjustment is negligible.

    “There is an almost linear decrease in fertility from left to right in each row but this is so slight (0.04±0.06) that the adjustment is negligible.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In the hierarchical-t analysis of the top 15 varieties, posterior means are generally shrunk towards 0 relative to the uniform prior, and this shrinkage is pronounced.

    “The means are generally shrunk towards 0 in comparison with corresponding values under the uniform prior.This must always happen but here the eect is quite pronounced”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    Individual 80% credible intervals for P, E and V are (0.29, 1.26), (0.23, 1.26) and (0.04, 1.01), with simultaneous intervals (0.09, 1.45), (0.02, 1.48) and (-0.16, 1.21).

    “Individual 80% credible intervals for P, E and V are (0.29, 1.26), (0.23, 1.26) and (0.04, 1.01) respectively, with corresponding simultaneous intervals (0.09, 1.45), (0.02, 1.48) and (À0:16, 1.21)”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The corresponding hierarchical-t analysis rates P best, with V, G and E tying for second, though P is the only variety whose lower 10% point is positive.

    “The corresponding hierarchical-t analysis provides some compensation, so that P is rated best, with V, G and E tying for second, though P is the only variety whose lower 10% point is positive.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The corresponding precisions are comparable in the two morning-glory fields, but anisotropy parameters differ considerably, with means 0.74 on the left and 0.39 on the right.

    “The corresponding precisions are comparable in the two ®elds but the anisotropy parameters dier considerably, with means 0.74 (left) and 0.39 (right).”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: In the morning-glory model, plants produce seeds independently given the centred effects and plot fertilities.
    • The authors state this as an assumption: The morning-glory model postulates that seed-production probabilities follow a logistic form with additive centred effects and plot fertilities.
  • May combine two claims.

    Findingown data

    In separate Bayesian analyses of the six corn trials, the posterior mean asymmetry parameter varies between 0.3 and 0.8, except in county 4 where the mode is close to 0, corresponding to independent column adjustment.

    “The posterior mean for the asymmetry parameter varies between 0.3 and 0.8, except in county 4, where the mode is close to 0, corresponding to independent column adjustment.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Limited experience suggests that the continuum formulation is effectively equivalent to the formulation based on Gaussian random walks.

    “Limited experience with this formulation suggests that it is eectively equivalent to that based on Gaussian random walks.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    For the data in Section 3, the continuum formulation is effectively equivalent to the Gaussian random walk formulation.

    “For example, this holds for the data in Section 3.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Posterior fertility means in the morning-glory analysis show a very strong spatial pattern, with seed-production probability ranging from about 0.1 to 0.9 over the layout.

    “The posterior fertility means in the lower panel of Fig. 3 show a very strong spatial pattern, as expected, with the probability of seed production ranging from about 0.1 to 0.9 over the layout.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: In the morning-glory model, plants produce seeds independently given the centred effects and plot fertilities.
    • The authors state this as an assumption: The morning-glory model postulates that seed-production probabilities follow a logistic form with additive centred effects and plot fertilities.
  • May combine two claims.

    Findingown data

    In county 4 of the corn trials, the geostatistical analysis estimates a very small range of dependence, so fertility corresponds closely to yield and is rather noisy.

    “In the geostatistical analysis, the estimated range of dependence is very small, so fertility corresponds closely to yield and is rather noisy.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Shading from a hedge severely delayed crop production in the strawberry trial, making a simple analysis inappropriate.

    “As is evident, shading from a hedge severely delayed crop production in its vicinity, so a simple analysis is inappropriate”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The variety effects from the Bayesian and geostatistical analyses of the corn trials are very similar, but those from the incomplete-block analysis differ substantially in places.

    “The variety eects for the Bayesian and geostatistical analyses are very similar but those for the incomplete-block analysis dier substantially in places.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    There is no evidence that colour intensity or seed pool has any effect on whether morning-glory plants produce seeds.

    “There is no evidence of main eects, either in Fig. 4 or more formally.”
    • Also stated in: § 5.1. Results · plain
      “Thus, we ®nd no evidence that colour intensity or seed pool have any eect in whether plants produce seeds.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: In the morning-glory model, plants produce seeds independently given the centred effects and plot fertilities.
    • Rests on an assumption: Morning-glory plants are susceptible to competition through overtopping, but competition is not an issue at the spacing used in this experiment.
    • The authors state this as an assumption: The morning-glory model postulates that seed-production probabilities follow a logistic form with additive centred effects and plot fertilities.
  • May combine two claims.

    Findingreasoning

    Because the combined analysis adjusts each variety effect towards a common combined value, the posterior distribution for each variety effect is shifted slightly left and that for each interaction slightly right.

    “However, since the combined analysis adjusts each variety eect t k towards a common combined value k , the posterior distribution for each y is shifted slightly to the left and that for each slightly to the right.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Figs 13(a) and 13(b) indicate a directionally dependent effect for county 1, but Figs 13(c) and 13(d) show no corresponding effect for county 4.

    “Figs 13(a) and 13(b) indicate a directionally dependent eect for county 1, but from Figs 13(c) and 13(d) there is no sign of any corresponding eect for county 4, which is very surprising in view of the results in the paper.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    In the second North Carolina trial, each of two varieties has its largest yield roughly three times its smallest, with large yields on end plots.

    “In the second North Carolina trial, each of two varieties has its largest yield equal to roughly three times its smallest, with the large yields on end plots.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    The prior distributions for the degrees of freedom of t-distributions for residual errors and fertility are among the more elaborate features of the authors' models.

    “The prior distributions for the degrees of freedom of t-distributions for residual errors and fertility comprise one of the more `elaborate' features of the authors' models.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    The North Carolina trial design is a triple lattice but also has a missing piece in one corner.

    “The design is a triple lattice (Cochran and Cox (1957), section 10.22) in the sense of Yates (1937), p. 87, but it is also a jigsaw puzzle design, in the sense of Hamleys of Regent Street's Christmas oers, 1998 Ð `complete' with the deliberately missing piece in one corner!”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Cochran and Cox (1957)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Yates (1937)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.

    Findingown data

    In the El Batán trial, the varieties appear in numerical order in block 1, which suggests that block may not have been randomized.

    “In Table 1, giving yields for the El Bata n trial, the varieties appear in numerical order for block 1,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingnone given

    The standard errors of treatment differences in the strawberry experiment lie in the range (0.53, 0.59), which is marginally better than with the Bayesian analysis presented.

    “Also, the standard errors of treatment dierences lie in the range (0.53, 0.59), which is marginally better than with the Bayesian analysis presented.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the winter wheat trial, credible interval widths vary by a factor of 2 in one analysis, while those in (c) are almost constant.

    “However, the widths of the corresponding credible intervals dier from one another by a factor of 2, whereas those in (c) are nearly constant.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    With stationary autoregressions, large neighbourhoods are needed but many unexplained structures remain, suggesting non-stationary behaviour.

    “With stationary autoregressions we need large neighbourhoods but we still ®nd many unexplained structures in the data, which suggest various kinds of non-stationary behaviour; see KuÈ nsch (1982).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Künsch (1982)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    The El Batán trial used complete blocks of 50 plots.

    “The El Bata n trial used complete blocks of 50 plots, even though 50 is evidently too large for the assumption of within-block homogeneity.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the winter wheat trial, analysis (b) shows negligible shrinkage of variety effects, as the data offer no support for it.

    “Note that the shrinkage of the variety eects in (b) is negligible because there is no support for it in the data.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    A simple hierarchical-t analysis of the data suggests perhaps three breaks in fertility but no outliers and produces an average posterior standard deviation of variety differences marginally less than the corresponding standard errors in Gilmour et al. (1997).

    “A simple hierarchical-t analysis of the data suggests perhaps three breaks in fertility but no outliers and produces an average posterior standard deviation of variety dierences that is marginally less than the corresponding standard errors in Gilmour et al. (1997).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Gilmour et al., 1997 source
  • May combine two claims.

    Findingown data

    Among the simulations, the visible evidence for non-stationarity is not clear, and for ρ=0.95 there is not much evidence for directional dependence despite strong directionality in the model.

    “Among the simulations, the visible evidence for non-stationarity is not at all clear, and for 0:95 in Figs 13(k) and 13(l) there is not much evidence for directional dependence either, despite the strong directionality in the model.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    A uniform variety prior yields a defective overall posterior, though variety contrasts generally have a proper distribution.

    “Indeed, the uniform variety prior, which we again emphasize was used purely for numerical comparison, produces a defective overall posterior but in general a proper distribution for variety contrasts.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Fig. 5's fertility map indicates that the aberrant row in county 2 is absorbed and that variety effect estimates are largely unaffected.

    “The fertility map in Fig. 5 suggests that the aberration is successfully absorbed and that the estimates of variety eects are not much aected.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    For intrinsic autoregression (2.5)-(2.6), the true variogram grows roughly logarithmically with distance, matching empirical findings of Fairfield Smith (1938) and Pearce (1976).

    “Note that, for the intrinsic autoregression (2.5)±(2.6) in Smith's simulations, the true variogram increases approximately as the logarithm of distance (Besag, 1981;Besag and Kooperberg, 1995), which is in close agreement with the empirical results claimed by Fair®eld Smith (1938) and Pearce (1976).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Besag, 1981 source
    • cites Besag and Kooperberg, 1995 source
    • cites Fairfield Smith (1938)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Findingown data

    Posterior expected loss is about 8% for variety 4 in the El Batán trial; in the spring barley trial, it is about 1% for variety 7 and under 10% for eight others.

    “Thus, in the El Bata n trial, the posterior expected loss for variety 4 is about 8%, whereas, in the spring barley trial discussed earlier in the reply, it is about 1% for variety 7 and less than about 10% for eight other varieties.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Using Bayesian methods makes the interpretation of results simpler, particularly for ranking and selection.

    “Adoption of the Bayesian paradigm simpli®es the interpretation of the results, especially in ranking and selection.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Complex model formulations can be analysed relatively easily with Markov chain Monte Carlo methods.

    “Also, complex formulations can be analysed with comparative ease, by using Markov chain Monte Carlo methods.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Such random walks epitomize non-stationarity in the prior distributions and were first adopted by Besag and Kempton (1986) in frequentist spatial analysis.

    “Such random walks epitomize the non-stationarity in our prior distributions and were ®rst adopted by Besag and Kempton (1986) in frequentist spatial analysis.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Besag and Kempton, 1986 source
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    If random samples of sizes n and 3n are taken from two independent N(0, sigma) populations, the probability that the n-sample mean is larger in magnitude is 2/3.

    “If random samples of sizes n and 3n are taken from two independent N0, populations, there is probability 2 3 that the n-sample mean will be the larger in magnitude.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    For hierarchical-t random walks, blocking ω and λ provides a significant computational improvement.

    “Blocking of ! and again provides a signi®cant improvement computationally”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    As the asymmetry parameter tends to its extremal values, the model yields random walks along rows or columns, which are used for one-dimensional fertility adjustment.

    “Also, as the asymmetry parameter P 0, 1 tends to each of its extremal values, we obtain random walks along the rows or along the columns of the trial and these we employ for one-dimensional fertility adjustment.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Information distributed about the corn trials includes the statement that growers are cautioned against making varietal selection decisions based on an individual location in any one year.

    “The information distributed about such trials includes the statement `Growers are cautioned against making varietal selection decisions based on an individual location in any one year' (Bowman, 1995).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bowman, 1995

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationreasoning

    In either column random walk or locally quadratic fertility modelling, there is a danger of spurious overfitting to some columns because each column has few observations; this danger does not occur with the first-order two-dimensional fertility model.

    “In either case, there is the danger of spurious over®tting to some columns, since the number of observations in each is so small.This danger does not occur with the ®rst-order two-dimensional fertility model.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    The four-neighbour Gaussian intrinsic autoregression adopted as the base-line representation of two-dimensional fertility variation involves two unknown parameters controlling scale and lateral asymmetry.

    “Thus, we have adopted a four-neighbour Gaussian intrinsic autoregression as our base-line representation of two-dimensional variation in fertility.This particular choice involves two unknown parameters, controlling scale and lateral asymmetry”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Continuum models are self-consistent as plot size varies.

    “Of course, the main attraction of continuum models is that they are self-consistent as plot size varies.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    The conclusion of no main effects in the morning-glory experiment would be strengthened if the uniform treatment prior were replaced by a Gaussian distribution.

    “Our conclusion would only be strengthened if the uniform treatment prior were to be replaced by a Gaussian distribution.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: In the morning-glory model, plants produce seeds independently given the centred effects and plot fertilities.
    • Rests on an assumption: Morning-glory plants are susceptible to competition through overtopping, but competition is not an issue at the spacing used in this experiment.
    • The authors state this as an assumption: The morning-glory model postulates that seed-production probabilities follow a logistic form with additive centred effects and plot fertilities.
  • May combine two claims.

    Premisecitation

    The four-neighbour Gaussian intrinsic autoregression has dual interpretations as a limiting version of a first-order stationary Gaussian conditional autoregression and as locally planar stochastic interpolation.

    “and has dual interpretations, both as a limiting version of a ®rst-order stationary Gaussian (conditional) autoregression (Besag, 1974) and as locally planar stochastic interpolation.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Besag, 1974 source
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    The order of updating λ_y and β is crucial.

    “Note that here the order of updating y and is crucial.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    The geostatistical formulation does not allow for uncertainty in estimating the parameters in expression (6.1), though this could be corrected in a fully Bayesian analysis.

    “Finally, note that the geostatistical formulation does not allow for uncertainty in estimating the parameters in expression (6.1), though this could be corrected in a corresponding fully Bayesian analysis (Diggle et al., 1998).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Diggle et al., 1998
  • May combine two claims.

    Interpretationreasoning

    The authors considered such differencing unsuitable in a prior distribution because it absorbs arbitrary row and column effects and is therefore highly degenerate.

    “There, we considered such dierencing unsuitable in a prior distribution because it absorbs arbitrary row and column eects and is therefore highly degenerate.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    t-distributions provide an exception to the usual posterior complications, allowing a simple Gibbs sampler.

    “Although non-Gaussian components in the prior and in the likelihood generally lead to complications in the posterior that are best handled via Hastings rather than Gibbs steps, t-distributions provide an exception.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Gilmour et al. (1997) reached an analogous frequentist conclusion that double differencing is inefficient because it loses too many degrees of freedom.

    “Gilmour et al. (1997) reached an analogous frequentist conclusion that double dierencing is inecient because it loses too many degrees of freedom.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Gilmour et al., 1997 source
  • May combine two claims.

    Interpretationreasoning

    In a Gaussian formulation, a few anomalies spread uncertainty among all effects, whereas the t-formulation anticipates occasional aberrations.

    “In a Gaussian formulation, the existence of a few anomalies spreads uncertainty among all eects, whereas the t-formulation anticipates occasional aberrations.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    The resulting analysis is closely related to frequentist methods developed by Cullis and Gleeson (1991) and investigated empirically by Kempton et al. (1994).

    “The resulting analysis has close ties with the frequentist methods developed by Cullis and Gleeson (1991) and investigated empirically by Kempton et al. (1994).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Cullis and Gleeson (1991) source
    • cites Kempton et al. (1994) source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    The order of updating ω and λ is again important.

    “so that order is again important.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    When ρ equals 1, the model yields independent random walks along the columns, and when ρ equals 0, along the rows.

    “When 1 in equation (2.5), we obtain a set of independent random walks along the columns of the array, each with an N0, 1= increment distribution, and similarly along the rows if 0.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    The device of adding layers can also be applied to non-Gaussian formulations for fertility.

    “The device of adding layers can also be applied to non-Gaussian formulations for but, in the Gaussian case, there are simpli®cations in the evaluation of the eigenvalues of W that can be used to speed up the computations and hence introduce a continuous prior for ; see Section 2.5.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    In natural populations of morning-glory in south-eastern USA, the W-locus is generally polymorphic, with at least two pigment intensities present and white allele frequency typically below 40%.

    “In natural populations in south-eastern USA, the W-locus is generally polymorphic, so at least two of the pigment intensities are present, with the frequency of the white allele being typically less than 40% (Epperson and Clegg, 1988).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Epperson and Clegg, 1988 source
  • May combine two claims.

    Premisecitation

    The papers on lattice-based fertility models all support parsimony but differ in their detailed conclusions; the first two favour differencing and non-stationarity, while the third promotes the stationary AR(1) x AR(1) process.

    “The papers all support parsimony, with which we concur, but dier in their detailed conclusions.Thus, the ®rst two favour dierencing as a component and hence non-stationarity but the third promotes the (stationary) AR(1) Â AR(1) or doubly geometric process”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Martin, 1979

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Martin, 1990 source
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Unusually small posterior means of ω_ij suggest the locations of fertility jumps.

    “also !ij s with unusually small posterior means suggest the locations of fertility jumps.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    For locally quadratic interpolation, restricting the infinite lattice process to a q1 by q2 array is straightforward.

    “Curiously, the restriction of the in®nite lattice process to a q 1 Â q 2 array is now straightforward, with j G exp”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    For variety 20, the most notable change under the t-analysis is an increase in the width of its credible interval, which indicates model uncertainty.

    “but the most notable change is the increase in the width of its credible interval, which is an indication of model uncertainty.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    Blocking with λ_y can yield a significant computational improvement.

    “Moreover, a signi®cant computational improvement can be made by blocking with y , as below.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    The larger standard errors for the incomplete-block analyses may reflect the strong row orientation of the blocks.

    “The standard errors for the incomplete-block analyses are noticeably larger and this may re¯ect the strong row orientation of the blocks.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning

    In the spatial mixture model for El Batán, the prior probability that two plots are allocated to the same component decreases as they become further apart.

    “Within each column, the use of a limiting case of a logistic autonormal multinomial allocation scheme, controlled by a smoothing parameter h > 0, ensures that the prior probability that two plots are allocated to the same component decreases as they become further”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    In well-designed experiments, the benefits of Bayesian analysis will be reduced and may disappear completely.

    “Presumably in welldesigned experiments the bene®ts of the Bayesian analysis will be reduced and may disappear completely.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    In hierarchical modelling, the data may carry little information about hyperparameters, so the usual assumption that prior input is swamped by the data likelihood may be unjustified.

    “Unfortunately, it is quite possible that the data will carry little information about such hyperparameters and the usual assumption that the prior input will be swamped by the data likelihood may be unjusti®ed.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Wavelet methods would allow the priors in Section 2.3 to be generalized to allow for intermittent effects.

    “Wavelet methods would allow the priors in Section 2.3 of the paper to be generalized, to allow for such intermittent eects; for some discussion of the range of possible behaviour of functions generated from priors over wavelet coecients see, for example, Abramovich et al. (1998).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Abramovich et al. (1998) source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    If Z1 and Z2 are independent white noises on Z2, then conditionally on the sums over all loops being zero, they have the same second moments as the increments of a first-order intrinsic autoregression.

    “This is indeed true: if Z 1 and Z 2 are two independent white noises on Z 2 , then, conditionally on the sums over all loops being 0, Z 1 , Z 2 has the same second moments as the increments of a ®rst-order intrinsic autoregression.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Priestley (1981)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationnone given

    The vast majority of intrinsic autoregressions do not suffer from severe degeneracy, including the one proposed, which has a single desirable rank deficiency producing non-stationarity.

    “However, the vast majority of intrinsic autoregressions do not suer from severe degeneracy and this includes the one that we propose, with its single (desirable) de®ciency in rank producing non-stationarity, as in one-dimensional dierencing.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Intrinsic autoregressions serve as limiting cases of stationary models and can be interpreted as local smoothers.

    “These are not only the limiting forms of corresponding stationary models but also have an interpretation as local smoothers, as noted by Ferna ndez and Green.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Fernández and Green

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Repeated ploughing over a very long period would reduce local variations in fertility.

    “One might expect that repeated ploughing over a very long period would reduce the local variations in fertility.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    The practical simplicity of Fisher's scheme of design and analysis of agricultural field experiments was quickly appreciated worldwide.

    “It is a historical fact that the practical simplicity of Fisher's scheme of design and analysis of agricultural ®eld experiments was quickly appreciated worldwide.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning

    On the basis of the Wiener process assumption, Jones could make a considerable reduction in the errors in contrasts.

    “On the basis of this assumption Jones could make a considerable reduction in the errors in contrasts.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    50 plots is too large for the assumption of within-block homogeneity.

    “The El Bata n trial used complete blocks of 50 plots, even though 50 is evidently too large for the assumption of within-block homogeneity.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisereasoning

    Bean yields were affected by worms in the soil whose breeding habits suggested that fertility along a row could be represented by a Wiener process with positive autocorrelation.

    “It was known that the bean yields were aected by worms in the soil whose breeding habits suggested that fertility along a row could reasonably be represented by a Wiener process with positive autocorrelation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    Fisher's simplicity was linked with his identification of the analysis with the design.

    “This simplicity was linked with Fisher's identi®cation of the analysis with the design.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    A random walk is represented by a linear graph with no constraints.

    “Note that a random walk corresponds to a linear graph and the absence of any constraints.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    Dr A. E. Jones studied fertility variations of rows of bean plants at Rothamsted.

    “Dr A. E.Jones, who was killed in a lift accident in 1948, studied fertility variations of rows of bean plants at Rothamsted.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Traditional analysis of covariance requires a regression coefficient below 1; its adjustment is attenuated and resembles stationarity rather than being strictly local.

    “Note that, in the traditional analysis of covariance, the regression coecient must be less than 1 and the corresponding adjustment is not strictly local as claimed by Pearce (1998) and here in the discussion but is attenuated and more akin to that obtained under stationarity.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Pearce (1998) source
  • May combine two claims.

    Interpretationnone given

    A Gaussian prior for variety effects makes Bayesian analysis non-additive; its shrinkage produces near-perfect results that do not generalize.

    “However, Bayesian analysis, with a Gaussian prior for variety eects, is non-additive and shrinkage will produce results that are close to perfect but that do not generalize.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    The variogram results probably support the use of a non-stationary model, but the evidence is not strong.

    “If these results show anything, they probably support the use of a non-stationary model, but the Downloaded from https://academic.oup.com/jrsssb/article/61/4/691/7083194 by guest on 19 December 2023 evidence is not strong.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    Practitioners are reluctant to implement either new designs or new methods of analysis.

    “In my experience, practitioners are reluctant to implement either new designs or new methods of analysis.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning

    Attention to short-range soil variation has grown considerably since field experimentation extended to regions such as Australia and North America, where land has been under plough for shorter periods than at Rothamsted.

    “I think that it is true that attention to short-range soil variation has grown considerably since ®eld experimentation has been extended to regions such as Australia and much of North America, where the land involved has been under the plough for much shorter periods than the land at Rothamsted.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Null results in small samples sometimes misled an experimenter into believing that no real effects existed.

    “In particular, `null' results in small samples sometimes misled an experimenter into believing that no real eects existed.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Premisenone given

    Fertility is intrinsically an intermittent phenomenon.

    “Fertility is intrinsically an intermittent phenomenon.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: Fertility is intrinsically an intermittent phenomenon.
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Premisecitation

    Bayesians who claim that their approach covers all inference ignore the rejection of their approach by many scientists and philosophers.

    “Bayesians who claim that their approach covers all inference ignore the rejection of their approach by many scientists and philosophers (see, for example, Mayo (1996)).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Mayo (1996) source
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    The spatial mixture methodology is directly applicable to arbitrary graphs.

    “Although here we apply a one-dimensional adjustment, our methodology is directly applicable to arbitrary graphs.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The choice of hyperpriors is rather arbitrary and the rescaling of the data is inelegant, though neither has produced practical problems in analyses of many data sets.

    “Among many other topics given scant attention, we note the rather arbitrary choice of hyperpriors and the inelegant rescaling of the data, though neither has produced any practical problems in the analysis of many dierent data sets, so far as we know.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    The result can be extended so that non-zero ωij values may differ.

    “An obvious extension permits the non-zero !ij s to be unequal.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Replacing the squares in equation (2.4) by a Huber function can preserve sharp edges without increasing computational difficulty too much.

    “In KuÈ nsch (1994) I also showed that replacing the squares in equation (2.4) by a Huber function can preserve sharp edges without increasing the computational diculty too much.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Künsch (1994)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    In one dimension, a first-order intrinsic autoregression means that the first differences are white noise.

    “For instance, in one dimension, a ®rst-order intrinsic autoregression simply means that the ®rst dierences are white noise.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Using t increments preserves a useful Gaussian interpretation for any specified degrees of freedom.

    “In fact, the switch to t increments retains a useful Gaussian interpretation for any given , as noted in Section 2.5.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The authors' approach already incorporates some model uncertainty, both in the basic formulation where values close to extremes produce essentially one-dimensional adjustment, and in the hierarchical-t representation through variation in degrees of freedom.

    “However, our approach already incorporates some model uncertainty, both in the basic formulation (2.8), where values of close to its extremes produce essentially one-dimensional adjustment, and in the hierarchical-t representation, through variation in the degrees of freedom.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    Randomization has some problems for frequentists, notably in small samples, but its role for a Bayesian is much less clear.

    “Randomization has some problems for frequentists, notably in small samples, but its role for a Bayesian is much less clear.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    Errors in copying and arithmetic are all too frequent in agricultural and horticultural trial data.

    “Errors in copying and in arithmetic are all too frequent.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisereasoning

    It is extremely difficult to find simple models that give a good fit to uniformity trials.

    “Finally, I would like to con®rm that it is extremely dicult to ®nd simple models which give a good ®t to uniformity trials.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    In other areas of statistical research where stochastic processes are used, likelihood-based methods of inference for non-location parameters do not always perform well.

    “Certainly, in other areas of statistical research where stochastic processes are used, likelihood-based methods of inference for non-location parameters do not always perform well.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Even with Bayesian analysis, a well-designed experiment will still perform better than a badly designed experiment.

    “However, even with the Bayesian analysis, a well-designed experiment will still perform better than a badly designed experiment.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Direct variogram fitting lacks an explicit class of allowable functions, and invalid choices sometimes occur.

    “In direct ®tting, which is often employed for geological data, the class of allowable variogram functions is not known explicitly and sometimes an invalid choice is made, as discussed by Gneiting (1996).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Gneiting (1996)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    A benefit of spatial analysis is that special-purpose design criteria affect its efficiency less.

    “One advantage of spatial analysis is that its eciency is less aected by special purpose design criteria.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Because the analysis is non-additive, its results do not generalize.

    “Such examples were omitted from the paper because they are somewhat ambiguous: the Gaussian prior for variety eects provides desirable shrinkage, also advocated by Patterson in his contribution, but the non-additivity of the analysis implies that the results do not generalize.”
    Quote in the paperNot a substantial claim
110 of 110
  • The paper relies on this without support.

    Bayesian analysis for agricultural field experiments has received very little previous attention.

    “The paper describes Bayesian analysis for agricultural ®eld experiments, a topic that has received very little previous attention, despite a vast frequentist literature.”
  • The paper relies on this without support.

    Generally, a crop performs much more similarly on two experimental units that are close together than on plots that are further apart.

    “Field trials are rather dierent, for it has always been recognized that generally a crop will perform much more similarly on two experimental units (plots) that are close together than on plots that are further apart.”
  • The paper relies on this without support.

    Variogram estimation is unreliable in small data sets.

    “In comparison, variogram estimation is unreliable in small data sets.”
  • The authors state this as an assumption.

    In the morning-glory model, plants produce seeds independently given the centred effects and plot fertilities.

    “The likelihood follows on assuming that plants produce seeds independently, given and .”
  • The paper relies on this without support.

    Morning-glory plants are susceptible to competition through overtopping, but competition is not an issue at the spacing used in this experiment.

    “We note that morning-glory plants are susceptible to competition through overtopping but this is not an issue at the spacing in this experiment.”
  • The authors state this as an assumption.

    The morning-glory model postulates that seed-production probabilities follow a logistic form with additive centred effects and plot fertilities.

    “Then, our model postulates that the corresponding vector p is of the form p expF T 1 expF T , in the same notation as equation (2.1), where exponentiation and division on the right-hand side occur element by element.”
  • The paper relies on this without support.

    The hedge in the strawberry experiment diminishes the yields of plots adjacent to it.

    “The hedge is thought to be diminishing the yields of plots adjacent to it.”
  • The paper relies on this without support.

    The practice of not randomizing an initial block has sometimes been recommended and adopted.

    “Alas, the practice of not randomizing an initial block has sometimes been recommended and adopted.”
  • The authors state this as an assumption.

    Fertility is intrinsically an intermittent phenomenon.

    “Fertility is intrinsically an intermittent phenomenon.”
  • The authors state this as an assumption.

    The design spreads treatments widely enough to limit confounding with spatial effects, and the spatial model is not so complex that it absorbs real treatment effects.

    “Note the implicit assumption here that treatments are spread out suciently by the design to minimize confounding with spatial eects, and, correspondingly, that the spatial formulation is not so elaborate as to absorb genuine treatment eects.”
  • The paper relies on this without support.

    Poorly designed experiments occur frequently in practice.

    “Nevertheless, badly designed experiments are common in practice and statisticians need to cope with them in the best possible way, not merely to encourage better designs in the future.”
  • The paper relies on this without support.

    Counties 2 and 3 faced a spring drought and heavy rainfall in July and August.

    “counties 2 and 3 were subject to a drought during the spring and to heavy rains in July and August.”
12 of 12

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The hierarchical regression analysis assumes exchangeable effects within batches, which is not necessarily best in every application; spatial models may be preferable for some data.

    “The hierarchical regression analysis is based on the model of exchangeable effects within batches, as expressed in model (7), which is not necessarily the best analysis in any particular application.For example, Besag and Higdon (1999) recommend using spatial models (rather than exchangeable row and column effects) for data such as in the split-plot experiment described previously.”

    From Analysis of variance—why it is more important than ever (2005) · cites this paper as Besag and Higdon (1999)

    Besag and Higdon develop spatial models for agricultural field experiments and say that a model's invariance to arbitrary row and column effects is undesirable (section 2.3.2, page unavailable). This supports the general preference for spatial modelling, but the passages do not specifically recommend it over exchangeable row and column effects for the split-plot experiment. The statement about the citing authors’ hierarchical regression model is not attributed to Besag and Higdon. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • More complex structures such as time-series and spatial models, or negative intraclass correlations, cannot be additively decomposed into exchangeable components.

    “More complex structures, such as time-series and spatial models [see Ripley (1981) and Besag and Higdon (1999)], or negative intraclass correlations, cannot be additively decomposed in a natural way into exchangeable components.”

    From Analysis of variance—why it is more important than ever (2005) · cites this paper as Besag and Higdon (1999)

Cites

Flagged first, then by citations

Research works printed but not linked: 9

  1. [29]29. Papadakis, J. S. (1984) Advances in the analysis of ®eld experiments. Proc. Acad. Athens, 59, 326±342.
  2. [38]38. Wilkinson, G. N. (1984) Nearest neighbour methodology for design and analysis of ®eld experiments. In Proc. 12th Int. Biometric Conf., pp. 64±79. Washington DC: Biometric Society.
  3. [60]60. Cochran, W. G. and Cox, G. M. (1957) Experimental Designs, 2nd edn. New York: Wiley.
  4. [68]68. Federer, W. T. (1994) Diagnostic procedures for analysis of variance. In New Progress in Probability and Statistics: Proc. Conf. `Nicolas de Arriquibar', pp. 1±23. Zeist: VSP. Ð (1998) Recovering interblock, intergradient, and intervariety information in incomplete block and lattice rectangle designed experiments. Biometrics, 54, 471±481.
  5. [79]79. Higdon, D. (1998) Estimation of genetic eects in the presence of spatial trend and censoring. In Proc. 13th Int. Wrkshp Statistical Modelling (eds B. Marx and H. Friedl), pp. 253±260.
  6. [81]81. Ickstadt, K. and Wolpert, R. L. (1999) Spatial regression for marked point processes (with discussion). In Bayesian Statistics 6 (eds J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith). Oxford: Oxford University Press.
  7. [89]89. Mead, R. (1988) The Design of Experiments. Cambridge: Cambridge University Press.
  8. [102]102. Segel, S., Sloth, N. and Tùgersen, F. A. (1998) Image analysis: a probabilistic approach using Markov chain Monte Carlo methods. Diploma Thesis. Department of Mathematics, Aalborg University, Aalborg.
  9. [104]104. Stigler, S. M. (1986) The History of Statistics. Cambridge: Harvard University Press.

Cited by

Sorted by citations

Authors
Besag, J., & Higdon, D.
Affiliations
  • University of Washington (US)
  • Duke University (US)
Corresponding author
Besag, Julian
Venue
Journal of the Royal Statistical Society Series B: Statistical Methodology
Published
1999-11-01
Volume
61
Issue
4
Pages
691-746
ISSN
  • 1369-7412 (ISSN-L)
  • 1467-9868
OpenAlex
W1990075873
Cited by
183
References
88
Citations by year
2026: 2 · 2025: 5 · 2024: 6 · 2023: 2 · 2022: 7 · 2021: 10 · 2020: 4 · 2019: 8 · 2018: 9 · 2017: 8 · 2016: 5 · 2015: 2 · 2014: 5 · 2013: 3 · 2012: 9
FWCI
9.79
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the Royal Statistical Society Series B (Statistical Methodology) (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Kent Academic Repository (University of Kent) (submittedVersion)
Funders
Durham University
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
Keywords
Bayesian analysis, agricultural field experiments, spatial modeling, outliers, cultivar evaluation, crop yield, binary data, ranking and selection, Markov chain Monte Carlo

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-02.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-02.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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