Nonparametric statistical methods.

"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."...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hollander, Myles
Otros Autores: Wolfe, Douglas A., Chicken, Eric, 1963-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
Edición:Third edition /
Temas:
Nonparametric statistics.
Statistics, Nonparametric
Statistique non paramétrique.
MATHEMATICS > Probability & Statistics > General.
Nonparametric statistics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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