Nonparametric statistical inference
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
eBook, English, ©2003
4th ed., rev. and expanded View all formats and editions
M. Dekker, New York, ©2003
Statistics, textbooks and monographs, v. 168, 168
1 online resource (xxiv, 645 pages) : illustrations
9780824755225, 9780203911563, 9781135532024, 0824755227, 0203911563, 1135532028
53893359
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
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