Introduction To Modern Nonparametric Statistic - 04 edition

1 ONE-SAMPLE METHODS

Preliminaries
A Nonparametric Test and Confidence Interval for the Median
Estimating the Population CDF and Quantiles
A Comparison of Statistical Tests

2 TWO-SAMPLE METHODS

A Two-Sample Permutation Test
Permutation Tests Based on the Median and Trimmed Means
Random Sampling the Permutations
Wilcoxon Rank-Sum Test
Wilcoxon Rank-Sum Test Adjusted for Ties
Mann-Whitney Test and a Confidence Interval
Scoring Systems
Test for Equality of Scale Parameters and an Omnibus Test
Selecting Among Two-Sample Tests
Large Sample Approximations
Exercises

3 K-SAMPLE METHODS

K-Sample Permutation Tests
The Kruskal-Wallis Test
Multiple Comparisons
Ordered Alternatives
Exercises

4 PAIRED COMPARISONS AND BLOCKED DESIGNS

Paired Comparison Permutation Test
Signed-Rank Test
Other Paired-Comparison Tests
A Permutation Test for a Randomized Complete Block Design
Friedman's Test for a Randomized Complete Block Design
Ordered Alternatives for a Randomized Complete Block Design
Exercises

5 TESTS FOR TRENDS AND ASSOCIATION

A Permutation Test for Correlation and Slope
Spearman Rank Correlation
Kendall's Tau
Permutation Tests for Contingency Tables
Fisher's Exact Test for a 2 X 2 Contingency Table
Contingency Tables With Ordered Categories
Mantel-Haenszel Test
Exercises

6 MULTIVARIATE TESTS

Two-Sample Multivariate Permutation Tests
Two-Sample Multivariate Rank Tests
Multivariate Paired Comparisons
Multivariate Rank Tests for Paired Comparisons
Multi-response Categorical Data
Exercises

7 ANALYSIS OF CENSORED DATA

Estimating the Survival Function
Permutation Tests for Two-Sample Censored Data
Gehan's Generalization of the Mann-Whitney-Wilcoxon Test
Scoring Systems for Censored Data
Tests Using Scoring Systems for Censored Data
Exercises

8 NONPARAMETRIC BOOTSTRAP METHODS

The Basic Bootstrap Method
Bootstrap Intervals for Location-Scale Models
BCA and Other Bootstrap Intervals
Correlation and Regression
Two-Sample Inference
Bootstrap Sampling from Several Populations
Bootstrap Sampling for Multiple Regression
Multivariate Bootstrap Sampling
Exercises

9 MULTIFACTOR EXPERIMENTS

Analysis of Variance Models
Aligned Rank Transform
Testing for Lattice-Ordered Alternatives
Exercises

10 SMOOTHING METHODS AND ROBUST MODEL FITTING

Estimating the Probability Density Function
Nonparametric Curve Smoothing
Robust and Rank-Based Regression
Exercises

TABLES
REFERENCES