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Low Moments for Small Samples: A Comparative Study of Order Statistics
Open accessAbstract
The means, variances, and covariances for samples of size $\leq 10$ from the normal distribution, a selected long-tailed distribution, and the uniform distribution are tabled and compared with the usual asymptotic approximations. The methods of computation used and the accuracy expected are discussed. Use is made of the representation of an arbitrarily distributed variate as a monotone function of a uniformly (rectangularly) distributed variate. It is hoped that these tables will encourage experimentation with new statistical procedures.
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“For example, outliers in linear models may strongly impact linear estimators, and some studies may therefore adopt a modeling strategy wherein values are winsorized (e.g., extreme values can be truncated at the 2.5th and 97.5th quantiles56).”
From Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research (2020) · cites this paper as [56]
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Kafadar, K. (2005) · Encyclopedia of Biostatistics · doi:10.1002/0470011815.b2a17150 · Cited by 6
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Ding, J., & Asenov, A. (2020) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2020.3026614 · Cited by 5
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BackgroundCollins, T. C., & Twumasi‐Ankrah, P. (2013) · SAGE Open Medicine · doi:10.1177/2050312113505559 · Cited by 3
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Purcell, W. R. (1949) · Transactions of the American Institute of Electrical Engineers · doi:10.1109/t-aiee.1949.5060003 · Cited by 3
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Rosser, J. B. (1951) · doi:10.6028/nbs.rpt.1311 · Cited by 3
Berzofsky, M., Moore, A. W., Couzens, G. L., et al. (2020) · doi:10.3768/rtipress.2020.rr.0039.2007 · Cited by 3
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Kania, J., Bandura, K., Lorimer, D. R., et al. (2026) · The Astronomical Journal · doi:10.3847/1538-3881/ae0d86 · Cited by 2
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Hadavand, M., & Deutsch, C. V. (2023) · Computers & Geosciences · doi:10.1016/j.cageo.2023.105376 · Cited by 2
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Deepthy, G. S., Sebastian, N., & Chandra, N. (2023) · Statistical Theory and Related Fields · doi:10.1080/24754269.2023.2201096 · Cited by 2
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Saccenti, E. (2023) · Metabolomics · doi:10.1007/978-3-031-39094-4_3 · Cited by 2
Moment estimation based on quantiles
Ren, H., Shen, W., Wu, R., et al. (2013) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.1267 · Cited by 2
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Kim, N. (2014) · Communications for Statistical Applications and Methods · doi:10.5351/csam.2014.21.6.529 · Cited by 2
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Sharma, S. C., & Ali, M. M. (1996) · Communication in Statistics- Theory and Methods · doi:10.1080/03610929608831790 · Cited by 2
Nair, N. U., Sankaran, P. G., & Balakrishnan, N. (2013) · Springer eBooks · doi:10.1007/978-0-8176-8361-0_3 · Cited by 2
Asymptotically exact inference in differentiable generative models
Graham, M. M., & Storkey, A. (2017) · Electronic Journal of Statistics · doi:10.1214/17-ejs1340si · Cited by 2
“Implicit models also arise through use of distributions defined by their quantile function (inverse of the cumulative distribution function (CDF)) [42, 95].”
BackgroundMatzkeit, N., Kisch, T., Waldmann, A., Schweiger, U., Mailänder, P., & Westermair, A. L. (2021) · Journal of Plastic Surgery and Hand Surgery · doi:10.1080/2000656x.2021.1993868 · Cited by 2
“29j), they were winsorized [28], that is, outliers were set to z 1⁄4j3.”
BackgroundApproximations to the Moments of Order Statistics for Normal Distribution
Yılmaz, A., & Kara, M. (2024) · Pakistan Journal of Statistics and Operation Research · doi:10.18187/pjsor.v20i2.4411 · Cited by 2
“Many writers tabulated different sample sizes with different decimal places by using numerical integration, see Parrish (1992), Fisher and Yates (1943), Hastings et al. (1947), Harter (1961).”
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David, H. A. (2007) · Birkhäuser Boston eBooks · doi:10.1007/0-8176-4487-3_10 · Cited by 2
Albers, T. (2000) · doi:10.15760/etd.104 · Cited by 2
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Rao, M. G., & Jain, J. P. (1981) · Biometrical Journal · doi:10.1002/bimj.4710230509 · Cited by 2
Koziol, J. A., Erman, M. K., Pasche, B., et al. (1993) · Journal of Applied Statistics · doi:10.1080/02664769300000039 · Cited by 2
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Kafadar, K., Rice, J., & Spiegelman, C. H. (1983) · Communication in Statistics- Theory and Methods · doi:10.1080/03610928308828473 · Cited by 2
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Belz, M. H., & Hooke, R. (1954) · Journal of the American Statistical Association · doi:10.1080/01621459.1954.10483524 · Cited by 2
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(2012) · SpringerReference · doi:10.1007/springerreference_205424 · Cited by 2
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Beckwith, N. B., & Dudewicz, E. J. (1996) · American Journal of Mathematical and Management Sciences · doi:10.1080/01966324.1996.10737421 · Cited by 1
Dzierzewski, J. M. (2012) · University of Florida Digital Collections (University of Florida) · Cited by 1
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Rodriguez, R. N. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat00987 · Cited by 1
Lineaire regressie‐analyse, ook bij gegevens in strijd met het model
van Montfort, M. A. J. (1974) · Statistica Neerlandica · doi:10.1111/j.1467-9574.1974.tb00235.x · Cited by 1
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Sivazlian, B. D. (1983) · American Journal of Mathematical and Management Sciences · doi:10.1080/01966324.1983.10737129 · Cited by 1
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Mudholkar, G. S., & Phatak, M. V. (1990) · Biometrical Journal · doi:10.1002/bimj.4710320808 · Cited by 1
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Kono, K. (1952) · Memoirs of the Faculty of Science Kyushu University Series A Mathematics · doi:10.2206/kyushumfs.7.1 · Cited by 1
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Chalabi, Y., Scott, D., & Wuertz, D. (2012) · Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) · Cited by 1
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Telnes, C. M. (2017) · BIBSYS Brage (BIBSYS (Norway)) · Cited by 1
(1950) · Mathematics of Computation · doi:10.1090/s0025-5718-50-99483-x · Cited by 1
Impact of Risk Oversight Functions on Bank Risk: Evidence from the Dodd-Frank ActPreprint
Balasubramanyan, L., Daniel, N. D., Haubrich, J. G., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4094786 · Cited by 1
Effects of prenatal alcohol exposure on cerebellar volume in children an MRI study
Boonzaier, N. R. (2012) · Open University of Cape Town (University of Cape Town)
Kafadar, K. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat04839
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Sreelakshmi, N., & Nair, K. R. M. (2014) · Dyuthi Digital Repository (Cochin University of Science and Technology)
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Song, M. (2015) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Binaural supplementation of the auditory intensive threshold.
Shaw, W. A. (1958) · Journal of Experimental Psychology · doi:10.1037/h0045855
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Lenth, R. V., & Padmanabhan, A. R. (1989) · Journal of Statistical Computation and Simulation · doi:10.1080/00949658908811196
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Gismondi, R., Gaetano, L. D., & Russo, M. A. (2014) · Management Theory and Studies for Rural Business and Infrastructure Development · doi:10.15544/mts.2014.078
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Glancy, C. G. (1994)
Un elemento di valutazione della qualità della didattica universitaria
Sbardella, G., Sebastianelli, F., Mariani, C., et al. (2016) · Riviste UNIMI (Università degli studi di Milano) · doi:10.13130/2282-5398/6862
Metadata
- Authors
- Hastings, C., Mosteller, F., Tukey, J. W., & Winsor, C. P.
- Venue
- The Annals of Mathematical Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1947-09
- Volume
- 18
- Issue
- 3
- Pages
- 413-426
- ISSN
- 0003-4851 (ISSN-L)
- OpenAlex
- W2040509998
- Cited by
- 366
- References
- 0
- Citations by year
- 2026: 18 · 2025: 10 · 2024: 10 · 2023: 14 · 2022: 18 · 2021: 27 · 2020: 24 · 2019: 22 · 2018: 18 · 2017: 26 · 2016: 17 · 2015: 17 · 2014: 14 · 2013: 14 · 2012: 14
- FWCI
- 6.85
- 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 › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- order statistics, moments, normal distribution, long-tailed distributions, uniform distribution, asymptotic approximation, mathematical tables
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 ›
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