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Title: Testing a tolerance hypothesis by means of an information distance (English)
Author: Rublík, František
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 35
Issue: 6
Year: 1990
Pages: 458-470
Summary lang: English
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Category: math
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Summary: In the paper a test of the hypothesis $\mu+c \sigma \leq M$, $\mu - c \sigma \geq m$ on parameters of the normal distribution is presented, and explicit formulas for critical regions are derived for finite sample sizes. Asymptotic null distribution of the test statistic is investigated under the assumption, that the true distribution possesses the fourth moment. (English)
Keyword: hypothesis testing
Keyword: Fisher information matrix
Keyword: concentration of the statistical population in prescribed tolerance limits
Keyword: statistical quality control
Keyword: normal distribution
Keyword: explicit formulas for critical regions
Keyword: finite sample sizes
Keyword: fourth moment
MSC: 62E20
MSC: 62F03
MSC: 62F05
idZBL: Zbl 0727.62027
idMR: MR1089926
DOI: 10.21136/AM.1990.104428
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Date available: 2008-05-20T18:40:17Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104428
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Reference: [1] J. Anděl: Matematická statistika.Praha, SNTL 1978.
Reference: [2] H. Cramér: Mathematical Methods of Statistics.Princeton University Press 1946. MR 0016588
Reference: [3] C. R. Rao: Linear Statistical Inference and Its Applications.(Czech translation). Praha, Academia 1978.
Reference: [4] F. Rublík: On testing hypotheses approximable by cones.Math. Slovaca 39 (1989), 199-213. MR 1018261
Reference: [5] F. Rublík: On the two-sided quality control.Apl. Mat. 27 (1982), 87-95. MR 0651047
Reference: [6] F. Rublík: Correction to the paper "On the two-sided quality control".Apl. Mat. 34 (1989), 425-428. MR 1026506
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