Book description
NoneTable of contents
- Cover
- Series
- Title Page
- Copyright
- Dedication
- Chapter 1: Introduction
- Chapter 2: The Dichotomous Data Problem
-
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)
- 3.2 An Estimator Associated With Wilcoxon's Signed Rank Statistic (Hodges–Lehmann)
- 3.3 A Distribution-Free Confidence Interval Based on Wilcoxon's Signed Rank Test (TUKEY)
- Paired Replicates Analyses by Way of Signs
- 3.4 A Distribution-Free Sign Test (Fisher)
- 3.5 An Estimator Associated with The Sign Statistic (Hodges–Lehmann)
- 3.6 A Distribution-Free Confidence Interval Based on the Sign Test (Thompson, Savur)
- One-Sample Data*
- 3.7 Procedures Based on the Signed Rank Statistic
- 3.8 Procedures Based on the Sign Statistic
- 3.9 An Asymptotically Distribution-Free Test of Symmetry (Randles–Fligner– Policello–Wolfe, Davis–Quade)
- Bivariate Data
- 3.10 A Distribution-Free Test for Bivariate Symmetry (Hollander)
- Hypothesis
- 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)
- 4.2 An Estimator Associated with Wilcoxon's Rank Sum Statistic (Hodges–Lehmann)
- 4.3 A Distribution-Free Confidence Interval Based on Wilcoxon's Rank Sum Test (Moses)
- 4.4 A Robust Rank Test for the Behrens–Fisher Problem (Fligner–Policello)
- 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)
- 5.2 An Asymptotically Distribution-Free Test for Dispersion Based on the Jackknife–Medians not Necessarily Equal (Miller)
- 5.3 A Distribution-Free Rank Test for Either Location or Dispersion (Lepage)
- 5.4 A Distribution-Free Test for General Differences in Two Populations (Kolmogorov–Smirnov)
- 5.5 Efficiencies of Two-Sample Dispersion and Broad Alternatives Procedures
-
Chapter 6: The One-Way Layout
- Introduction
- 6.1 A Distribution-Free Test for General Alternatives (Kruskal–Wallis)
- 6.2 A Distribution-Free Test for Ordered Alternatives (Jonckheere–Terpstra)
- 6.3 Distribution-Free Tests for Umbrella Alternatives (Mack–Wolfe)
- 6.3A A Distribution-Free Test for Umbrella Alternatives, Peak Known (Mack–Wolfe)
- 6.3B A Distribution-Free Test for Umbrella Alternatives, Peak Unknown (Mack–Wolfe)
- 6.4 A Distribution-Free Test for Treatments Versus a Control (Fligner–Wolfe)
- 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)
- 6.6 Distribution-Free One-Sided All-Treatments Multiple Comparisons Based on Pairwise Rankings-Ordered Treatment Effects (Hayter–Stone)
- 6.7 Distribution-Free One-Sided Treatments- Versus-Control Multiple Comparisons Based on Joint Rankings (Nemenyi, Damico–Wolfe)
- 6.8 Contrast Estimation Based on Hodges–Lehmann Two-Sample Estimators (Spjøtvoll)
- 6.9 Simultaneous Confidence Intervals for All Simple Contrasts (Critchlow–Fligner)
- 6.10 Efficiencies of One-Way Layout Procedures
-
Chapter 7: The Two-Way Layout
- Introduction
- 7.1 A Distribution-Free Test For General Alternatives In A Randomized Complete Block Design (Friedman, Kendall-Babington Smith)
- 7.2 A Distribution-Free Test for Ordered Alternatives in a Randomized Complete Block Design (Page)
- 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)
- 7.4 Distribution-Free One-Sided Treatments Versus Control Multiple Comparisons Based On Friedman Rank Sums (Nemenyi, Wilcoxon–Wilcox, Miller)
- 7.5 Contrast Estimation Based on One-Sample Median Estimators (Doksum)
- 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)
- 7.7 Asymptotically Distribution-Free Two-Sided All-Treatments Multiple Comparisons for Balanced Incomplete Block Designs (Skillings–Mack)
- 7.8 A Distribution-Free Test for General Alternatives for Data From an Arbitrary Incomplete Block Design (Skillings–Mack)
- 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)
- 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)
- Analyses Associated With Signed Ranks
- 7.11 A Test Based on Wilcoxon Signed Ranks for General Alternatives in A Randomized Complete Block Design (Doksum)
- 7.12 A Test Based on Wilcoxon Signed Ranks for Ordered Alternatives in a Randomized Complete Block Design (Hollander)
- 7.13 Approximate Two-Sided All-Treatments Multiple Comparisons Based on Signed Ranks (Nemenyi)
- 7.14 Approximate One-Sided Treatments-Versus-Control Multiple Comparisons Based On Signed Ranks (Hollander)
- 7.15 Contrast Estimation Based on the One-Sample Hodges–Lehmann Estimators (Lehmann)
- 7.16 Efficiencies of Two-Way Layout Procedures
-
Chapter 8: The Independence Problem
- Introduction
- 8.1 A Distribution-Free Test for Independence Based on Signs (Kendall)
- 8.2 An Estimator Associated With The Kendall Statistic (Kendall)
- 8.3 An Asymptotically Distribution–Free Confidence Interval Based On The Kendall Statistic (Samara–Randles, Fligner–Rust, Noether)
- 8.4 An Asymptotically Distribution-Free Confidence Interval Based On Efron's Bootstrap
- 8.5 A Distribution-Free Test for Independence Based on Ranks (Spearman)
- 8.6 A Distribution-Free Test for Independence Against Broad Alternatives (Hoeffding)
- 8.7 Efficiencies of Independence Procedures
-
Chapter 9: Regression Problems
- Introduction
- One Regression Line
- 9.1 A Distribution-Free Test for the Slope of the Regression Line (Theil)
- 9.2 A Slope Estimator Associated with the Theil Statistic (Theil)
- 9.3 A Distribution-Free Confidence Interval Associated with the Theil Test (Theil)
- 9.4 An Intercept Estimator Associated with the Theil Statistic and Use of the Estimated Linear Relationship for Prediction (Hettmansperger–Mckean–Sheather)
- k(≥2) Regression Lines
- 9.5 An Asymptotically Distribution-Free Test for the Parallelism of Several Regression Lines (Sen, Adichie)
- General Multiple Linear Regression
- 9.6 Asymptotically Distribution-Free Rank-Based Tests for General Multiple Linear Regression (Jaeckel, Hettmansperger–Mckean)
- Nonparametric Regression Analysis
- 9.7 An Introduction to Non-Rank-Based Approaches to Nonparametric Regression Analysis
- 9.8 Efficiencies of Regression Procedures
-
Chapter 10: Comparing Two Success Probabilities
- Introduction
- 10.1 Approximate Tests and Confidence Intervals for The Difference Between Two Success Probabilities (Pearson)
- 10.2 An Exact Test for the Difference Between Two Success Probabilities (Fisher)
- 10.3 Inference for the Odds Ratio (Fisher, Cornfield)
- 10.4 Inference for k Strata of 2×2 Tables (Mantel and Haenszel)
- 10.5 Efficiencies
-
Chapter 11: Life Distributions and Survival Analysis
- Introduction
- 11.1 A Test of Exponentiality Versus IFR Alternatives (Epstein)
- 11.2 A Test of Exponentiality Versus NBU Alternatives (Hollander–Proschan)
- 11.3 A Test of Exponentiality Versus DMRL Alternatives (Hollander–Proschan)
- 11.4 A Test of Exponentiality Versus a Trend Change in Mean Residual Life (Guess–Hollander–Proschan)
- 11.5 A Confidence Band for the Distribution Function (Kolmogorov)
- 11.6 An Estimator of the Distribution Function When the Data are Censored (Kaplan–Meier)
- 11.7 A Two-Sample Test for Censored Data (Mantel)
- 11.8 Efficiencies
- Chapter 12: Density Estimation
- Chapter 13: Wavelets
- Chapter 14: Smoothing
-
Chapter 15: Ranked Set Sampling
- Introduction
- 15.1 Rationale and Historical Development
- 15.2 Collecting a Ranked Set Sample
- 15.3 Ranked Set Sampling Estimation of a Population Mean
- 15.4 Ranked Set Sample Analogs of the Mann–Whitney–Wilcoxon Two-Sample Procedures (Bohn–Wolfe)
- 15.5 Other Important Issues for Ranked Set Sampling
- 15.6 Extensions and Related Approaches
- Chapter 16: An Introduction to Bayesian Nonparametric Statistics via the Dirichlet Process
- Bibliography
- R Program Index
- Author Index
- Subject Index
- Series
Product information
- Title: Nonparametric Statistical Methods, 3rd Edition
- Author(s):
- Release date:
- Publisher(s): Wiley
- ISBN: None
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