Distribution theory for tests based on the sample distribution function /

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Bibliographic Details
Author / Creator:	Durbin, J. (James), 1923-2012.
Imprint:	Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), [1973]
Description:	1 online resource (x, 64 pages) : digital file
Language:	English
Series:	Regional conference series in applied mathematics ; 9 CBMS-NSF regional conference series in applied mathematics ; 9.
Subject:	Distribution (Probability theory) Sampling (Statistics) Statistical hypothesis testing. Distribution (Probability theory) Sampling (Statistics) Statistical hypothesis testing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12577340

Hidden Bibliographic Details
Other authors / contributors:	Society for Industrial and Applied Mathematics.
ISBN:	9781611970586 161197058X 9780898710076 0898710073
Notes:	Title from title screen, viewed 04/05/2011. Includes bibliographical references (pages 59-64). Restricted to subscribers or individual electronic text purchasers. Also available in print version.
Summary:	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.
Other form:	Print version: 0898710073 9780898710076

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