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Limiting forms of the frequency distribution of the largest or smallest member of a sample

Fisher, R. A., Tippett, L. H. C.·1928·Mathematical Proceedings of the Cambridge Philosophical Society

Abstract

Summary: The limiting distribution, when n is large, of the greatest or least of a sample of n, must satisfy a functional equation which limits its form to one of two main types. Of these one has, apart from size and position, a single parameter h, while the other is the limit to which it tends when h tends to zero. The appropriate limiting distribution in any case may be found from the manner in which the probability of exceeding any value x tends to zero as x is increased. For the normal distribution the limiting distribution has h = 0. From the normal distribution the limiting distribution is approached with extreme slowness; the final series of forms passed through as the ultimate form is approached may be represented by the series of limiting distributions in which h tends to zero in a definite manner as n increases to infinity. Numerical values are given for the comparison of the actual with the penultimate distributions for samples of 60 to 1000, and of the penultimate with the ultimate distributions for larger samples.

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Metadata

Authors
Fisher, R. A., & Tippett, L. H. C.
Venue
Mathematical Proceedings of the Cambridge Philosophical Society
Published
1928-04
Volume
24
Issue
2
Pages
180-190
ISSN
  • 0305-0041 (ISSN-L)
  • 1469-8064
OpenAlex
W2122456939
Cited by
3,310
References
0
FWCI
1.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Limiting forms of the frequency distribution of the largest or smallest member of a sample. https://app.cochat.ai/papers/10.1017/s0305004100015681
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Fisher, R. A., & Tippett, L. H. C. (1928). Limiting forms of the frequency distribution of the largest or smallest member of a sample. Mathematical Proceedings of the Cambridge Philosophical Society. https://doi.org/10.1017/s0305004100015681

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.