Nonparametric Statistical Inference, Fourth Edition (Statistics: a Series of Textbooks and Monographs)

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Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.

Author(s): Jean Dickinson Gibbons, Subhabrata Chakraborti
Edition: 4
Year: 2003

Language: English
Pages: 680
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;

Preface to the Fourth Edition......Page 12
Preface to the Third Edition......Page 16
Preface to the Second Edition......Page 20
Preface to the First Edition......Page 22
Contents......Page 26
Introduction and Fundamentals......Page 32
Order Statistics, Quantiles, and Coverages......Page 63
Tests of Randomness......Page 107
Tests of Goodness of Fit......Page 134
One-Sample and Paired-Sample Procedures......Page 187
The General Two-Sample Problem......Page 262
Linear Rank Statistics and the General Two-Sample Problem......Page 314
Linear Rank Tests for the Location Problem......Page 327
Linear Rank Tests for the Scale Problem......Page 350
Tests of the Equality of k Independent Samples......Page 384
Measures of Association for Bivariate Samples......Page 430
Measures of Association in Multiple Classifications......Page 481
Asymptotic Relative Efficiency......Page 525
Analysis of Count Data......Page 551
Appendix of Tables......Page 583
Answers to Selected Problems......Page 642
References......Page 648
Index......Page 666