Nonparametric Statistical Inference
Chapman & Hall/CRC (Verlag)
978-1-4200-7761-2 (ISBN)
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Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods
Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material.
New to the Fifth Edition
Updated and revised contents based on recent journal articles in the literature
A new section in the chapter on goodness-of-fit tests
A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered
Additional problems and examples
Improved computer figures
This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems.
Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures. It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format.
Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech.
Jean Dickinson Gibbons is Russell Professor Emerita of Statistics at the University of Alabama. Subhabrata Chakraborti is a Robert C. and Rosa P. Morrow Faculty Excellence Fellow and professor of statistics at the University of Alabama.
Introduction and Fundamentals
Introduction
Fundamental Statistical Concepts
Order Statistics, Quantiles, and Coverages
Introduction
Quantile Function
Empirical Distribution Function
Statistical Properties of Order Statistics
Probability-Integral Transformation
Joint Distribution of Order Statistics
Distributions of the Median and Range
Exact Moments of Order Statistics
Large-Sample Approximations to the Moments of Order Statistics
Asymptotic Distribution of Order Statistics
Tolerance Limits for Distributions and Coverages
Tests of Randomness
Introduction
Tests Based on the Total Number of Runs
Tests Based on the Length of the Longest Run
Runs Up and Down
A Test Based on Ranks
Tests of Goodness of Fit
Introduction
The Chi-Square Goodness-of-Fit Test
The Kolmogorov–Smirnov One-Sample Statistic
Applications of the Kolmogorov–Smirnov One-Sample Statistics
Lilliefors’s Test for Normality
Lilliefors’s Test for the Exponential Distribution
Anderson–Darling Test
Visual Analysis of Goodness of Fit
One-Sample and Paired-Sample Procedures
Introduction
Confidence Interval for a Population Quantile
Hypothesis Testing for a Population Quantile
The Sign Test and Confidence Interval for the Median
Rank-Order Statistics
Treatment of Ties in Rank Tests
The Wilcoxon Signed-Rank Test and Confidence Interval
The General Two-Sample Problem
Introduction
The Wald–Wolfowitz Runs Test
The Kolmogorov–Smirnov Two-Sample Test
The Median Test
The Control Median Test
The Mann–Whitney U Test and Confidence Interval
Linear Rank Statistics and the General Two-Sample Problem
Introduction
Definition of Linear Rank Statistics
Distribution Properties of Linear Rank Statistics
Usefulness in Inference
Linear Rank Tests for the Location Problem
Introduction
The Wilcoxon Rank-Sum Test and Confidence Interval
Other Location Tests
Linear Rank Tests for the Scale Problem
Introduction
The Mood Test
The Freund–Ansari–Bradley–David–Barton Tests
The Siegel–Tukey Test
The Klotz Normal-Scores Test
The Percentile Modified Rank Tests for Scale
The Sukhatme Test
Confidence-Interval Procedures
Other Tests for the Scale Problem
Applications
Tests of the Equality of k Independent Samples
Introduction
Extension of the Median Test
Extension of the Control Median Test
The Kruskal–Wallis One-Way ANOVA Test and Multiple Comparisons
Other Rank-Test Statistics
Tests against Ordered Alternatives
Comparisons with a Control
Measures of Association for Bivariate Samples
Introduction: Definition of Measures of Association in a Bivariate Population
Kendall’s Tau Coefficient
Spearman’s Coefficient of Rank Correlation
The Relations between R and T; E(R), τ, and ρ
Another Measure of Association
Applications
Measures of Association in Multiple Classifications
Introduction
Friedman’s Two-Way Analysis of Variance by Ranks in a k × n Table and Multiple Comparisons
Page’s Test for Ordered Alternatives
The Coefficient of Concordance for k Sets of Rankings of n Objects
The Coefficient of Concordance for k Sets of Incomplete Rankings
Kendall’s Tau Coefficient for Partial Correlation
Asymptotic Relative Efficiency
Introduction
Theoretical Bases for Calculating the ARE
Examples of the Calculations of Efficacy and ARE
Analysis of Count Data
Introduction
Contingency Tables
Some Special Results for k × 2 Contingency Tables
Fisher’s Exact Test
McNemar’s Test
Analysis of Multinomial Data
Summary
Appendix of Tables
Answers to Problems
References
Index
A Summary and Problems appear at the end of each chapter.
Erscheint lt. Verlag | 2.8.2010 |
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Zusatzinfo | 930+ - PPI 606; 123 Tables, black and white; 22 Illustrations, black and white |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 1021 g |
Themenwelt | Geisteswissenschaften ► Psychologie |
ISBN-10 | 1-4200-7761-9 / 1420077619 |
ISBN-13 | 978-1-4200-7761-2 / 9781420077612 |
Zustand | Neuware |
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