Nonparametric statistical methods / / Myles Hollander, Douglas A. Wolfe, Eric Chicken

• Autore: Hollander Myles
• Pubblicazione: Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014]; ©2014
• Edizione: Third edition.
• Descrizione fisica: 1 online resource (844 pages)
• Disciplina: 519.5/3
• Soggetto topico: Nonparametric statistics; Mathematical statistics
• Classificazione: MAT029000
• Altri autori: ChickenEric <1963-> WolfeDouglas A
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and indexes.
• Nota di contenuto: 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. ; 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. ; 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 -- 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 -- 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 -- 7.10. Asymptotically Distribution-Free Two-Sided All-Treatments Multiple Comparisons for a Two-Way Layout with an Equal Number of Replications in Each Treatment-Block Combination (Mack-Skillings) -- Procedure -- Ties -- Comments -- Properties -- Problems -- Analyses Associated with Signed Ranks -- 7.11. A Test Based on Wilcoxon Signed Ranks for General Alternatives in a Randomized Complete Block Design (Doksum) -- Procedure -- Ties -- Comments -- Properties -- Problems -- 7.12. A Test Based on Wilcoxon Signed Ranks for Ordered Alternatives in a Randomized Complete Block Design (Hollander) -- Procedure -- Ties -- Comments. ; Properties.
• Sommario/riassunto: "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"--; "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. "--
• Titolo autorizzato: Nonparametric statistical methods
• ISBN: 1-118-55329-2; 1-119-19603-5; 1-118-67795-1; 1-118-67799-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910806817303321
• Lo trovi qui: Univ. Federico II