The DOI matches its Crossref record.
Some Problems Connected with Statistical Inference
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“the problem of forking paths may be avoided altogether if researchers and their readers condition reported p values on the analytical path that is actually followed in that particular sample rather than on the two potential paths that might be followed in hypothetical replications”
From Does preregistration improve the credibility of research findings? (2020) · cites this paper as Cox, 1958, p. 359-361
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Still being checked.
Research works printed but not linked: 15
- [1][1] F. J. AnscomBE, "Contribution to the discussion of a paper by F. N. David and N. L. Johnson" J.R. Stat. Soc., B, Vol. 18, (1956), pp. 24–27. -
- [2][2] F. J. AnscomBE, "Dependence of the fiducial argument on the sampling rule", Biometrika, Vol. 44 (1957), pp. 464–469. -
- [3][3] R. R. BAHADUR AND L. J. SAvAGE, "The non-existence of certain statistical procedures in non-parametric problems", Ann. Math. Stat., Vol. 27 (1956), pp. 1115-1122. -
- [4][4] G. A. BArNArD, "The meaning of a significance level", Biometrika, Vol. 34 (1947), pp. 179-182. -
- [5][5] G. A. BARNArD, "Statistical inference", J.R. Stat. Soc., Suppl., Vol. 11 (1949), pp. 115-139. -
- [6][6] M. S. BARTLETT, "A note on the interpretation of quasi-sufficiency", Biometrika, Vol. 31 (1939), pp. 391–392. -
- [7][7] M. S. BArTLETT, "Comment on Sir Ronald Fisher's paper", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 295–296. -
- [8][8] H. CHERNoFF, "A property of some type of A regions", Ann. Math. Stat., Vol. 22 (1951), pp. 472–474. -
- [9][9] M. A. CREAsy, "Limits for the ratio of means", J.R. Stat. Soc., B, Vol. 16 (1954), pp. 186-194. -
- [10][10] R. A. FisHER, "The logic of inductive inference", J.R. Stat. Soc., Vol. 98 (1935), pp. 39-54. -
- [11][11] R. A. FisHER, 'Statistical methods and scientific induction", J.R. Stat. Soc., B, Vol. 17 (1955), 69–78. -
- [12][12] R. A. FisíER, "On a test of significance in Pearson's Biometrika Table No. 11", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 56–60. -
- [14][14] W. HoEFFDING, '"The role of assumptions in statistical decisions", Proc. 3rd Berkeley Symp., Vol. 1 (1955), pp. 105–114. -
- [15][15] S. KARLIN AND H. RuBIN, "Theory of decision procedures for distributions with monotone likelihood ratio", Ann. Math. Stat., Vol. 27 (1956), pp. 272–299. 16. y, a a , nn 1m. Stat. Assn. Vol. 50 (1955), pp. 946–967. -
- [17][17] H. JEFFREys, The theory of probability. Oxford, 2nd ed., 1946. - [19] D. V. LINDLEy, "A statistical paradox", Biometrika, Vol. 44 (1957), pp. 187-192. 19. I ss n n st mation, II, Sankhya, Vol. 15 (1955), pp. 219–236. - [20] J. G. MauLdoN, "Pivotal quantities for Wishart's and related distributions and a paradox in fiducial theory", J.R. Stat. Soc., B, Vol. 17 (1955), pp. 79–85. - [21] J. NEyMAN, "Note on an article by Sir Ronald Fisher", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 288–294. - [22] J. NErmAN, "Outline of a theory of statistical estimation based on the classical theory of probability", Phil. Trans. Roy. Soc., A, Vol. 236 (1937), pp. 333–380. - [24] E. S. PEArsoN, "Statistical concepts in their relation to reality", J.R. Stat. Soc. B, Vol. 17 (1955), pp. 204–207. - [23] A. R. G. OwEN, "Ancillary statistics and fiducial distributions", Sankhya, Vol. 9, (1948), pp. 1–18.. - [25] J. PRzYBorowsKI AND J. WILENsKI, "Homogeneity of results in testing samples from Poisson series", Biometrika, Vol. 31 (1939), pp. 313–323. - [26] C. STEIN, "A property of some tests of composite hypotheses", Ann. Math. Stat., Vol. 22 (1951), pp. 475–476. - [28] J. W. TukEy, "Some examples with fiducial relevance", Ann. Math. Stat., Vol. 28 (1957), pp. 687–695. - [27] J. W. TukEy, "Fiducial inference", unpublished lectures. - [29] B. L. WELcH, "On confidence limits and sufficiency with particular reference to parameters of location", Ann. Math. Stat., Vol. 10 (1939), pp. 58–69. - [30] B. L. WELcí, "Generalisation of Student's problem", Biometrika, Vol. 34 (1947), pp. 28-35. - [31] B. L. WELcH, "Note on some criticisms made by Sir Ronald Fisher", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 297–302.
Cited by
Sorted by citations
Items 301–400 of 538
Kalbfleisch, J. G., & Sprott, D. A. (1974) · Springer eBooks · doi:10.1007/978-94-010-2159-3_5 · Cited by 5
Statistical inference: Some theoretical methods and directions
Fraser, D. A. S., & Reid, N. M. (1990) · Environmetrics · doi:10.1002/env.3170010104 · Cited by 5
Bias and Conditioning in Sequential Medical Trials
Nardini, C., & Sprenger, J. (2013) · Philosophy of Science · doi:10.1086/673732 · Cited by 5
A Note on Hypothesis Testing with Random Sample Sizes and its Relationship to Bayes Factors
Berry, S. M., & Viele, K. (2021) · Journal of Data Science · doi:10.6339/jds.2008.06(1).380 · Cited by 5
Estimation by Ranking Parameters
Hartigan, J. A. (1966) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1966.tb00616.x · Cited by 5
Model-averaged confidence distributions
Fletcher, D., Dillingham, P. W., & Zeng, J. (2019) · Environmental and Ecological Statistics · doi:10.1007/s10651-019-00432-5 · Cited by 5
Cousins, R. D. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1109.2023 · Cited by 5
Quantum theory as a statistical theory under symmetry and complementarityPreprint
Helland, I. S. (2003) · arXiv (Cornell University) · doi:10.48550/arxiv.quant-ph/0309178 · Cited by 5
Paternity testing. 2: Likelihood ratio tests
Kaiser, L. D., & Seber, G. A. F. (1985) · American Journal of Medical Genetics · doi:10.1002/ajmg.1320200202 · Cited by 5
Improving the post-experiment properties of stein's two-stage procedure
Denne, J. S., & Jennison, C. (1999) · Sequential Analysis · doi:10.1080/07474949908836420 · Cited by 5
Bridging Bayesian, frequentist and fiducial (BFF) inferences using confidence distributionPreprint
Thornton, S., & Xie, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.04464 · Cited by 5
Cheng, J., Liu, R. Y., & Xie, M. (2017) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat07922 · Cited by 5
Evans, M. J., & Frangakis, C. (2022) · Sankhya A · doi:10.1007/s13171-022-00295-2 · Cited by 4
Advances in the Reliability Analysis of Coherent Systems under Limited Data with Confidence Boxes
Lye, A., Vechgama, W., Sallak, M., Destercke, S., Ferson, S. A., & Xiao, S. (2024) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · doi:10.1061/ajrua6.rueng-1380 · Cited by 4
A Conversation with Donald A. S. Fraser
DiCiccio, T. J., & Thompson, M. E. (2004) · Statistical Science · doi:10.1214/088342304000000143 · Cited by 4
Davison, A. C., & Reid, N. M. (2024) · Chapman & Hall/CRC eBooks · doi:10.1201/9780429341731-10 · Cited by 4
Nechval, N. A., Berzins, G., Nechval, K. N., & Tsaurkubule, Z. (2021) · Automatic Control and Computer Sciences · doi:10.3103/s0146411621050060 · Cited by 4
On inference in high-dimensional regression
Battey, H., & Reid, N. M. (2023) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1093/jrsssb/qkad001 · Cited by 4
Some aspects of minimum variance unbiased estimation in presence of ancillary statistics
Nayak, T. K., & Sinha, B. K. (2012) · Statistics & Probability Letters · doi:10.1016/j.spl.2012.02.024 · Cited by 4
Alternativtests für zwei einfache Hypothesen mit endlich vielen Ergebnissen
Rüger, B. (1980) · Metrika · doi:10.1007/bf01893578 · Cited by 4
Lehmann, E. L. (1986) · Springer texts in statistics · doi:10.1007/978-1-4757-1923-9_1 · Cited by 4
Possibility distribution: a unified representation for parameter estimation
Mauris, G. P. (2009) · HAL · Cited by 4
Statistical Decision Techniques
Sachs, L. (1984) · Springer series in statistics · doi:10.1007/978-1-4612-5246-7_4 · Cited by 4
Speculations concerning the future of statistics
Good, I. J. (1990) · Journal of Statistical Planning and Inference · doi:10.1016/0378-3758(90)90088-c · Cited by 4
A note on sufficiency and information loss
Kabaila, P. V. (1998) · Statistics & Probability Letters · doi:10.1016/s0167-7152(97)00107-7 · Cited by 4
Die logischen Grundlagen des statistischen Schließens
Stegmüller, W. (1973) · Springer eBooks · doi:10.1007/978-3-642-61953-3_2 · Cited by 4
Bickel, D. R. (2006) · arXiv (Cornell University) · Cited by 4
Xie, M. (2013) · International Statistical Review · doi:10.1111/insr.12001 · Cited by 4
On the Bell Experiment and Quantum FoundationPreprint
Helland, I. S. (2023) · doi:10.32388/y4f89y · Cited by 4
Vovk, V., Gammerman, A., & Shafer, G. R. (2022) · Springer eBooks · doi:10.1007/978-3-031-06649-8_1 · Cited by 3
Reid, N. M. (2024) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1093/jrsssa/qnae008 · Cited by 3
Demystifying Inferential Models and Confidence Curves: A Fiducial Perspective
Cui, Y., & Hannig, J. (2025) · Statistical Science · doi:10.1214/24-sts924 · Cited by 3
Introduction to Fraser (1966) Structural Probability and a Generalization
Reid, N. M. (1992) · Springer series in statistics · doi:10.1007/978-1-4612-0919-5_35 · Cited by 3
Multivariate geometric anisotropic Cox processes
Martin, J. S., Murrell, D. J., & Olhede, S. C. (2023) · Scandinavian Journal of Statistics · doi:10.1111/sjos.12640 · Cited by 3
Beck, J., & Bathke, A. C. (2023) · Statistical Papers · doi:10.1007/s00362-023-01445-w · Cited by 3
Korn, E. L., & Freidlin, B. (2024) · Statistics in Medicine · doi:10.1002/sim.10115 · Cited by 3
Confidence Distribution and Distribution Estimation for Modern Statistical Inference
Cui, Y., & Xie, M. (2023) · Springer handbooks · doi:10.1007/978-1-4471-7503-2_29 · Cited by 3
Robust Inference—The Fisherian Approach
Wilkinson, G. N. (1979) · Elsevier eBooks · doi:10.1016/b978-0-12-438150-6.50020-0 · Cited by 3
Is there a need for a unified theory of random experiments?
Dalenius, T., & Matérn, B. (1964) · Metrika · doi:10.1007/bf02613718 · Cited by 3
The Analysis of Stratified 2 × 2 Contingency Tables
Berger, V. W., Ştefănescu, C., & Zhou, Y. (2006) · Biometrical Journal · doi:10.1002/bimj.200610277 · Cited by 3
Sequential parameter structure, conditional inference, and likelihood drop
Fraser, D. A. S. (1987) · Statistische Hefte · doi:10.1007/bf02932589 · Cited by 3
Chapter IV: Research Tools: Statistical Methods
Michael, W., & Hunka, S. (1957) · Review of Educational Research · doi:10.3102/00346543030005440 · Cited by 4
Dealing with Data: Signals, Backgrounds, and Statistics
Demortier, L. (2010) · doi:10.1142/9789812838360_0007 · Cited by 3
Confidence distributions from likelihoods by median bias correction
Blasi, P. D., & Schweder, T. (2017) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2017.09.010 · Cited by 3
On Cox’s Confidence Distribution
Mau, J. (1987) · Springer eBooks · doi:10.1007/978-1-4613-1885-9_35 · Cited by 3
Posterior probability and conditional coverage
Swartz, T. B., & Villegas, C. (1992) · Statistics & Probability Letters · doi:10.1016/0167-7152(92)90017-y · Cited by 3
The theory of nomic probability
Pollock, J. L. (1992) · Synthese · doi:10.1007/bf00485353 · Cited by 3
Bueno, A. M. D. S., Agostini, J. M. S., Gaidzinski, K., Moreira, J., & Brognoli, I. (1992) · Journal of Toxicology and Environmental Health · doi:10.1080/15287399209531627 · Cited by 3
A note on recent criticisms to Birnbaum's theoremPreprint
Peña, V., & Berger, J. O. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.08093 · Cited by 3
On Concurrent Regression Lines
Crowder, M. J. (1978) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2347167 · Cited by 3
Demortier, L. (2013) · doi:10.1002/9783527653416.ch4 · Cited by 3
Reviewing of Applied Research with an Industry 4.0 PerspectivePreprint
Kenett, R. S. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3591808 · Cited by 3
Farewell, V. T. (2022) · Pharmaceutical Statistics · doi:10.1002/pst.2201 · Cited by 3
Confidence Intervals and Regions
Robinson, G. K. (2008) · Wiley Encyclopedia of Clinical Trials · doi:10.1002/9780471462422.eoct993 · Cited by 3
(2000) · The American Statistician · doi:10.1080/00031305.2000.10474515 · Cited by 3
Wang, Y. H., & Politis, D. N. (2025) · Journal of nonparametric statistics · doi:10.1080/10485252.2025.2603398 · Cited by 2
D. A. S. Fraser: From structural inference to asymptotics
Reid, N. M. (2022) · Canadian Journal of Statistics · doi:10.1002/cjs.11720 · Cited by 2
D. R. Cox: aspects of scientific inference
Battey, H. (2024) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1093/jrsssa/qnad138 · Cited by 2
Computer-intensive conditional inference
YOUNG, G. A., & DiCiccio, T. J. (2010) · Contributions to statistics · doi:10.1007/978-88-470-1386-5_11 · Cited by 2
Methodology in generative linguistics: scratching below the surface
Johnson, K. R. (2014) · Language Sciences · doi:10.1016/j.langsci.2014.02.001 · Cited by 2
Hypothesis Testing, “Dutch Book” Arguments, and Risk
Malinsky, D. (2015) · Philosophy of Science · doi:10.1086/683341 · Cited by 2
Nanjundan, G., Loganathan, A., & Naika, T. R. (2009) · Mapana Journal of Sciences · doi:10.12723/mjs.15.7 · Cited by 2
Stopping rules as experimental design
Fletcher, S. C. (2019) · European Journal for Philosophy of Science · doi:10.1007/s13194-019-0252-x · Cited by 2
Elfving, G. (1968) · Scandinavian Actuarial Journal · doi:10.1080/03461238.1968.10413274 · Cited by 2
Learning Statistics From Counterexamples
Berger, J. O. (2024) · Sankhya A · doi:10.1007/s13171-024-00356-8 · Cited by 2
Methods for comparing two hypotheses
Lyons, L. (2009) · Cited by 2
Evidence in Classical Statistics
Fletcher, S. C., & Mayo‐Wilson, C. (2023) · Routledge eBooks · doi:10.4324/9781315672687-46 · Cited by 2
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors
Fay, M. P., Proschan, M. A., Brittain, E., & Tiwari, R. C. (2022) · Statistical Science · doi:10.1214/21-sts833 · Cited by 2
A Unified Scientific Basis for InferencePreprint
Helland, I. S. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1206.5075 · Cited by 2
Five per cent of the time it works 100 per cent of the time: the erroneousness of the P value
Cook, C. E. (2010) · Journal of Manual & Manipulative Therapy · doi:10.1179/106698110x12640740712257 · Cited by 2
Discussion of “On the Birnbaum Argument for the Strong Likelihood Principle”
Hannig, J. (2014) · Statistical Science · doi:10.1214/14-sts474 · Cited by 2
Critical issues in different inferential paradigms
Piccinato, L. (1992) · Statistical Methods & Applications · doi:10.1007/bf02589034 · Cited by 2
An F-type small sample simultaneous test for nested linear regression models
Terui, N. (1990) · Communication in Statistics- Theory and Methods · doi:10.1080/03610929008830227 · Cited by 2
Location Reparameterization and Default Priors for Statistical Analysis
Fraser, D. A. S., & Yi, G. Y. (2002) · Journal of the Iranian Statistical Society · Cited by 2
Wang, Y., & Politis, D. N. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.12156 · Cited by 2
Bondar, J. S. (1988) · Springer eBooks · doi:10.1007/978-1-4613-8768-8_12 · Cited by 2
Stability of Dependencies of Contingent Subgroups with Merged Groups: Vaccination Case Study
Macák, T. (2021) · Mathematics · doi:10.3390/math9222917 · Cited by 1
Heimann, G., Jacko, P., & Parke, T. (2025) · Statistics in Medicine · doi:10.1002/sim.70251 · Cited by 1
Parameter Estimation in Comparative Judgment Under Random and Adaptive Scheduling Schemes
Hamilton, I., & Tawn, N. (2025) · Journal of Educational Measurement · doi:10.1111/jedm.70022 · Cited by 1
Non‐negative Gaussian estimation of variance components in random effects models
Plante, A., & Plante, M. (2026) · Canadian Journal of Statistics · doi:10.1002/cjs.70051 · Cited by 1
On the Likelihood Principle and a Supposed Antinomy
Loewer, B., Laddaga, R. M., & Rosenkrantz, R. D. (1978) · PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association · doi:10.1086/psaprocbienmeetp.1978.1.192644 · Cited by 1
Rejoinder: “On the Birnbaum Argument for the Strong Likelihood Principle”
Mayo, D. G. (2014) · Statistical Science · doi:10.1214/14-sts482 · Cited by 1
Discussion: On Arguments Concerning Statistical Principles
Fraser, D. A. S. (2014) · Statistical Science · doi:10.1214/14-sts473 · Cited by 1
Inference in an Epistemic Process
Helland, I. S. (2021) · Springer eBooks · doi:10.1007/978-3-030-81923-1_3 · Cited by 1
Statistical Issues in Particle Physics
Lyons, L. (2020) · Springer eBooks · doi:10.1007/978-3-030-35318-6_15 · Cited by 1
Mayo, D. G. (2018) · Cambridge University Press eBooks · doi:10.1017/9781107286184.014 · Cited by 1
Confidence Distributions for the Autoregressive Parameter
Larsson, R. (2023) · The American Statistician · doi:10.1080/00031305.2023.2226184 · Cited by 1
Maximal co-ancillarity and maximal co-sufficiency
Battey, H. (2024) · Information Geometry · doi:10.1007/s41884-024-00144-1 · Cited by 1
Severe Testing: Error Statistics versus Bayes Factor Tests
Mayo, D. G. (2025) · The British Journal for the Philosophy of Science · doi:10.1086/736950 · Cited by 1
Statistical Issues in Particle Physics
Lyons, L. (2020) · Particle Physics Reference Library · doi:10.1007/978-3-642-03606-4_15 · Cited by 2
THEORETICAL AND REVIEW A RTICLES A practical solution to the pervasive problems of p values
Agenmakers, E.-J. W. (2007) · Cited by 1
Stochastic Time Series Methods
Sivakumar, B. (2016) · Springer eBooks · doi:10.1007/978-90-481-2552-4_3 · Cited by 1
Permutation inference distribution for linear regression and related models
Wu, Q., & Vos, P. W. (2019) · Journal of nonparametric statistics · doi:10.1080/10485252.2019.1632306 · Cited by 1
The score test for the two‐sample occupancy model
Karavarsamis, N., Guillera‐Arroita, G., Huggins, R., & Morgan, B. J. T. (2020) · Australian & New Zealand Journal of Statistics · doi:10.1111/anzs.12288 · Cited by 1
Cross-comparative Analysis of Frequentist and Bayesian Perspectives on Failure Time Distributions
Turkson, A. J. (2022) · Earthline Journal of Mathematical Sciences · doi:10.34198/ejms.9122.5377 · Cited by 1
Serlin, R. C. (2002) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1036109700 · Cited by 1
Rothenhaüsler, D. (2023) · Harvard Data Science Review · doi:10.1162/99608f92.49571926 · Cited by 1
Bayesian and Non-Bayesian Approaches to Statistical Inference: A Personal View
Chiandotto, B. (2014) · Studies in theoretical and applied statistics. Selected papers of the statistical societies · doi:10.1007/978-3-319-05552-7_1 · Cited by 1
Unequal probability and double sampling in forestry
Schreuder, H. T. (1966) · doi:10.31274/rtd-180813-4416 · Cited by 1
Constructing Ensembles of Pseudo-ExperimentsPreprint
Demortier, L. (2003) · arXiv (Cornell University) · doi:10.48550/arxiv.physics/0312100 · Cited by 1
Metadata
- Authors
- Cox, D. R.
- Corresponding author
- Cox, D. R.
- Venue
- The Annals of Mathematical Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1958-06
- Volume
- 29
- Issue
- 2
- Pages
- 357-372
- ISSN
- 0003-4851 (ISSN-L)
- OpenAlex
- W3023006322
- Cited by
- 536
- References
- 0
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 18 · 2023: 17 · 2022: 18 · 2021: 14 · 2020: 14 · 2019: 10 · 2018: 32 · 2017: 19 · 2016: 16 · 2015: 9 · 2014: 27 · 2013: 15 · 2012: 13
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Annals of Mathematical Statistics (publishedVersion)
- Project Euclid (Cornell University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- statistical inference
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.
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review