Distribution theory for tests based on the sample distribution function:
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Bibliographische Detailangaben
1. Verfasser: Durbin, James 1923-2012 (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Philadelphia, Pa. Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) [1973]
Schriftenreihe:CBMS-NSF regional conference series in applied mathematics 9
Schlagworte:
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Beschreibung:Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader
Includes bibliographical references (s. 59-64)
Kolmogorov-Smirnov tests, finite-sample case -- Asymptotic theory of Kolmogorov-Smirnov tests -- Cramer-von Mises tests -- Tests on the circle -- Two-sample tests -- Tests based on the sample d.f. when parameters are estimated
Presents a coherent body of theory for the derivation of the sampling distributions of a wide range of test statistics. Emphasis is on the development of practical techniques. A unified treatment of the theory was attempted, e.g., the author sought to relate the derivations for tests on the circle and the two-sample problem to the basic theory for the one-sample problem on the line. The Markovian nature of the sample distribution function is stressed, as it accounts for the elegance of many of the results achieved, as well as the close relation with parts of the theory of stochastic processes
Beschreibung:1 Online-Ressource (x, 64 Seiten)
ISBN:9780898710076
0898710073
DOI:10.1137/1.9781611970586

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