Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-17T10:51:48.436Z Has data issue: false hasContentIssue false

A transformation for normal extremes

Published online by Cambridge University Press:  14 July 2016

Abstract

A transformation is introduced to stabilize the variance of the largest value in a sample from a normal distribution. The transformed distribution is found to approximate closely to the limiting Gumbel form for all sample sizes. The practical implications of the result are discussed.

Type
Part 5 — Statistical Theory
Copyright
Copyright © 1982 Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Daniels, H. E. (1941) A property of the distribution of extremes. Biometrika 32, 194195.Google Scholar
[2] Fisher, R. A. and Tippett, L. H. C. (1928) Limiting forms of the frequency distribution of the largest or smallest member of a sample. Proc. Camb. Phil. Soc. 24, 180190.CrossRefGoogle Scholar
[3] Gumbel, E. J. (1958) Statistics of Extremes. Columbia University Press, New York.Google Scholar