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Nonparametric statistical inference

Author: Jean Dickinson Gibbons; Subhabrata Chakraborti
Publisher: New York : M. Dekker, ©2003.
Series: Statistics, textbooks and monographs, v. 168.
Edition/Format:   eBook : Document : English : 4th ed., rev. and expandedView all editions and formats
Summary:
Nonparametric Statistical Inference presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis. The fourth edition includes new material on quantiles, the calculation of exact and simulated power, sample size determination, and multiple comparisons.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Gibbons, Jean Dickinson, 1938-
Nonparametric statistical inference.
New York : M. Dekker, ©2003
(OCoLC)52281771
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jean Dickinson Gibbons; Subhabrata Chakraborti
ISBN: 0824755227 9780824755225 9780203911563 0203911563
OCLC Number: 53893359
Description: 1 online resource (xxiv, 645 pages) : illustrations.
Contents: Preface to the Fourth Edition; Preface to the Third Edition; Preface to the Second Edition; Preface to the First Edition; Contents; Introduction and Fundamentals; Order Statistics, Quantiles, and Coverages; Tests of Randomness; Tests of Goodness of Fit; One-Sample and Paired-Sample Procedures; The General Two-Sample Problem; Linear Rank Statistics and the General Two-Sample Problem; Linear Rank Tests for the Location Problem; Linear Rank Tests for the Scale Problem; Tests of the Equality of k Independent Samples; Measures of Association for Bivariate Samples.
Series Title: Statistics, textbooks and monographs, v. 168.
Responsibility: Jean Dickinson Gibbons, Subhabrata Chakraborti.

Abstract:

Nonparametric Statistical Inference presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis. The fourth edition includes new material on quantiles, the calculation of exact and simulated power, sample size determination, and multiple comparisons.

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