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Title: On estimation of reliability in the exponential case (English)
Author: Hurt, Jan
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 21
Issue: 4
Year: 1976
Pages: 263-272
Summary lang: English
Summary lang: Czech
Summary lang: Russian
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Category: math
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Summary: Four different estimates of reliability in the exponential case are studied namely the best unbiased, maximum likelihood, Bayes, and the so called naive. Asymptotic normality of the estimators is proved and asymptotic expansions of their expectation and the mean square error are given. Three of these estimators (best unbiased, maximum likelihood, and Bayes) are shown to be efficient and they are studied by using the defficiency concept. ()
MSC: 62E20
MSC: 62F10
MSC: 62N05
idZBL: Zbl 0354.62079
idMR: MR0468078
DOI: 10.21136/AM.1976.103646
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Date available: 2008-05-20T18:05:07Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/103646
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Reference: [1] Cramér H.: Mathematical methods of statistics.Princeton Univ. Press, Princeton 1946. MR 0016588
Reference: [2] Hodges, Jr. J. L., Lehmann E. L.: Deficiency.Ann. Math. Statist. 41 (1970), 783 - 801. Zbl 0225.62063, MR 0272092, 10.1214/aoms/1177696959
Reference: [3] Hurt J.: Asymptotic expansions of functions of statistics.to appear in Apl. Mat. Zbl 0354.62034, MR 0418309
Reference: [4] Pugh E. L.: The best estimate of reliability in the exponential case.Oper. Res. 11/17 (1963), 57-61. Zbl 0107.14004, 10.1287/opre.11.1.57
Reference: [5] Rao C. R.: Linear statistical inference and its applications.2nd ed., Wiley, New York 1973. Zbl 0256.62002, MR 0346957
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