| Description |
1 online resource |
| Contents |
Cover -- Title Page -- Contents -- Preface -- Chapter 1 Introduction -- 1.1. Advantages of Nonparametric Methods -- 1.2. The Distribution-Free Property -- Distribution-Free Test Statistic -- 1.3. Some Real-World Applications -- 1.4. Format and Organization -- Procedure -- Large-Sample Approximation -- Ties -- Example -- Comments -- Properties -- Problems -- Efficiency -- 1.5. Computing with R -- 1.6. Historical Background -- Chapter 2 The Dichotomous Data Problem -- Introduction -- 2.1. A Binomial Test -- Procedure -- Large-Sample Approximation -- Comments -- Properties -- Problems -- 2.2. An Estimator for the Probability of Success -- Procedure -- Properties -- Problems -- 2.3. A Confidence Interval for the Probability of Success (Wilson) -- Procedure -- Properties -- Problems -- 2.4. Bayes Estimators for the Probability of Success -- Procedure -- Comments -- Properties -- Problems -- Chapter 3 The One-Sample Location Problem -- Introduction -- Paired Replicates Analyses by Way of Signed Ranks -- 3.1. A Distribution-Free Signed Rank Test (Wilcoxon) -- Hypothesis -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 3.2. An Estimator Associated with Wilcoxon's Signed Rank Statistic (Hodges-Lehmann) -- Procedure -- Comments -- Properties -- Problems -- 3.3. A Distribution-Free Confidence Interval Based on Wilcoxon's Signed Rank Test (Tukey) -- Procedure -- Large-Sample Approximation -- Comments -- Properties -- Problems -- Paired Replicates Analyses by Way of Signs -- 3.4. A Distribution-Free Sign Test (Fisher) -- Hypothesis -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 3.5. An Estimator Associated with the Sign Statistic (Hodges-Lehmann) -- Procedure -- Comments -- Properties -- Problems |
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3.6. A Distribution-Free Confidence Interval Based on the Sign Test (Thompson, Savur) -- Procedure -- Large-Sample Approximation -- Comments -- Properties -- Problems -- One-Sample Data -- 3.7. Procedures Based on the Signed Rank Statistic -- Procedures -- Comments -- Properties -- Problems -- 3.8. Procedures Based on the Sign Statistic -- Procedures -- Comments -- Properties -- Problems -- 3.9. An Asymptotically Distribution-Free Test of Symmetry (Randles-Fligner-Policello-Wolfe, Davis-Quade) -- Hypothesis -- Procedure -- Ties -- Comments -- Properties -- Problems -- Bivariate Data -- 3.10. A Distribution-Free Test for Bivariate Symmetry (Hollander) -- Hypothesis -- Procedure -- Comments -- Properties -- Problems -- 3.11. Efficiencies of Paired Replicates and One-Sample Location Procedures -- Chapter 4 The Two-Sample Location Problem -- Introduction -- 4.1. A Distribution-Free Rank Sum Test (Wilcoxon, Mann and Whitney) -- Hypothesis -- Procedure -- Large-Sample Approximation -- Ties -- The Mann-Whitney Statistic -- Comments -- Properties -- Problems -- 4.2. An Estimator Associated with Wilcoxon's Rank Sum Statistic (Hodges-Lehmann) -- Procedure -- Comments -- Properties -- Problems -- 4.3. A Distribution-Free Confidence Interval Based on Wilcoxon's Rank Sum Test (Moses) -- Procedure -- Large-Sample Approximation -- Comments -- Properties -- Problems -- 4.4. A Robust Rank Test for the Behrens-Fisher Problem (Fligner-Policello) -- Hypothesis -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 4.5. Efficiencies of Two-Sample Location Procedures -- Chapter 5 The Two-Sample Dispersion Problem and Other Two-Sample Problems -- Introduction -- 5.1. A Distribution-Free Rank Test for Dispersion-Medians Equal (Ansari-Bradley) -- Hypothesis -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties |
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Problems -- 5.2. An Asymptotically Distribution-Free Test for Dispersion Based on the Jackknife-Medians Not Necessarily Equal (Miller) -- Hypothesis -- Procedure -- Ties -- Comments -- Properties -- Problems -- 5.3. A Distribution-Free Rank Test for Either Location or Dispersion (Lepage) -- Hypothesis -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 5.4. A Distribution-Free Test for General Differences in Two Populations (Kolmogorov-Smirnov) -- Hypothesis -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 5.5. Efficiencies of Two-Sample Dispersion and Broad Alternatives Procedures -- Chapter 6 The One-Way Layout -- Introduction -- Hypothesis -- 6.1. A Distribution-Free Test for General Alternatives (Kruskal-Wallis) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 6.2. A Distribution-Free Test for Ordered Alternatives (Jonckheere-Terpstra) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 6.3. Distribution-Free Tests for Umbrella Alternatives (Mack-Wolfe) -- 6.3A. A Distribution-Free Test for Umbrella Alternatives, Peak Known (Mack-Wolfe) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 6.3B. A Distribution-Free Test for Umbrella Alternatives, Peak Unknown (Mack-Wolfe) -- Procedure -- Ties -- Comments -- Problems -- 6.4. A Distribution-Free Test for Treatments Versus a Control (Fligner-Wolfe) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- Rationale For Multiple Comparison Procedures |
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6.5. Distribution-Free Two-Sided All-Treatments Multiple Comparisons Based on Pairwise Rankings-General Configuration (Dwass, Steel, and Critchlow-Fligner) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 6.6. Distribution-Free One-Sided All-Treatments Multiple Comparisons Based on Pairwise Rankings-Ordered Treatment Effects (Hayter-Stone) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 6.7. Distribution-Free One-Sided Treatments-Versus-Control Multiple Comparisons Based on Joint Rankings (Nemenyi, Damico-Wolfe) -- Procedure -- Large-Sample Approximations -- Ties -- Comments -- Properties -- Problems -- 6.8. Contrast Estimation Based on Hodges-Lehmann Two-Sample Estimators (Spjotvoll) -- Procedure -- Comments -- Properties -- Problems -- 6.9. Simultaneous Confidence Intervals for All Simple Contrasts (Critchlow-Fligner) -- Procedure -- Large-Sample Approximation -- Comments -- Properties -- Problems -- 6.10. Efficiencies of One-Way Layout Procedures -- Chapter 7 The Two-Way Layout -- Introduction -- Hypothesis -- 7.1. A Distribution-Free Test for General Alternatives in a Randomized Complete Block Design (Friedman, Kendall-Babington Smith) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 7.2. A Distribution-Free Test for Ordered Alternatives in a Randomized Complete Block Design (Page) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- Rationale for Multiple Comparison Procedures |
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7.3. Distribution-Free Two-Sided All-Treatments Multiple Comparisons Based on Friedman Rank Sums-General Configuration (Wilcoxon, Nemenyi, McDonald-Thompson) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 7.4. Distribution-Free One-Sided Treatments Versus Control Multiple Comparisons Based on Friedman Rank Sums (Nemenyi, Wilcoxon-Wilcox, Miller) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 7.5. Contrast Estimation Based on One-Sample Median Estimators (Doksum) -- Procedure -- Comments -- Properties -- Problems -- Incomplete Block Data-Two-Way Layout with Zero or One Observation Per Treatment-Block Combination -- 7.6. A Distribution-Free Test for General Alternatives in a Randomized Balanced Incomplete Block Design (BIBD) (Durbin-Skillings-Mack) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- 7.7. Asymptotically Distribution-Free Two-Sided All-Treatments Multiple Comparisons for Balanced Incomplete Block Designs (Skillings-Mack) -- Procedure -- Ties -- Comments -- Properties -- Problems -- 7.8. A Distribution-Free Test for General Alternatives for Data From an Arbitrary Incomplete Block Design (Skillings-Mack) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems -- Replications-Two-Way Layout with at Least One Observation for Every Treatment-Block Combination -- 7.9. A Distribution-Free Test for General Alternatives in a Randomized Block Design with an Equal Number c(>1) of Replications Per Treatment-Block Combination (Mack-Skillings) -- Procedure -- Large-Sample Approximation -- Ties -- Comments -- Properties -- Problems |
| Summary |
"In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition."-- Provided by publisher |
| Notes |
"Written by leading statisticians, this new edition has been completely updated to include additional modern topics and procedures, more real-world data sets, and more problems from real-life situations. Incorporating the R software program, this user-friendly book provides readers with an arsenal of nonparametric techniques, helping them develop the insight needed to choose appropriate procedures for various situations. It features five new chapters with added-on topics including Density Estimation, Kernel Regression, Nonparametric Regression, Ranked-Set Sampling, and Bayesian Nonparametrics"--Provided by publisher |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Copyright © John Wiley & Sons 2014 |
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Print version record and CIP data provided by publisher |
| Subject |
Nonparametric statistics.
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Statistics, Nonparametric
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MATHEMATICS -- Probability & Statistics -- General.
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Nonparametric statistics
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| Form |
Electronic book
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| Author |
Wolfe, Douglas A
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Chicken, Eric, 1963-
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| LC no. |
2013017379 |
| ISBN |
9781118677995 |
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1118677994 |
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9781118553299 |
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1118553292 |
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9781118553275 |
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1118553276 |
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9781119196037 |
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1119196035 |
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9781306118507 |
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1306118506 |
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