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Title: Approximate construction of a two-dimensional confidence region (English)
Author: Pavlík, Miloš
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 15
Issue: 5
Year: 1970
Pages: 305-309
Summary lang: English
Summary lang: Czech
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Category: math
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Summary: If a sufficiently large random sample is taken from a population with known distribution, depending upon a couple $\zeta$ of parameters, so that Pearson $\chi^2$ criterion is applicable to test the agreement between the observed and the expected sample class frequencies, and if the $\chi^2$ statistic is considered to be a random function defined on the space of all admisible $\zeta$ values, then the region in on which $\chi^2$ is less than its $100\alpha$ per cent critical value, constitutes an approximately $100(1-\alpha)$ per cent level confidence region for the true population value $\zeta_0$ of $\zeta$. Under certain general conditions this region always exists and lies within a closed curve the graphic construction of which is not very difficult if the expected sample class frequencies in a sufficiently large area in , surrounding the maximum likelihood or the $\chi^2$ minimum estimate of $\zeta_0$, are known. ()
MSC: 62F25
idZBL: Zbl 0212.50701
idMR: MR0266362
DOI: 10.21136/AM.1970.103301
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Date available: 2008-05-20T17:48:35Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/103301
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Reference: [1] Bateman H. A. Erdélyi: Higher transcendental functions.vol. 1. McGraw-Hill, New York- Toronto-London, 1953.
Reference: [2] : Таблицы логарифмической производной гамма-функции и ее производных в комплексной области.Вычислительный центр AHCCCP, Москва, 1965. Zbl 1099.01519
Reference: [3] Wilks S. S.: Shortest average confidence intervals for large samples.Ann. Math. Stat. 9, 166-175, 1938. 10.1214/aoms/1177732308
Reference: [4] Wilks S. S.: Optimum fiducial regions for simultaneous estimation of several population parameters from large samples.(Abstract.) Ann. Math. Stat. 10, 85-86, 1939.
Reference: [5] Wilks S. S. J. F. Daly: An optimum property of confidence regions associated with the likelihood function.Ann. Math. Stat. 10, 225 - 235, 1939. MR 0000386, 10.1214/aoms/1177732181
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