SAS Companion for Nonparametric Statistics

Name: SAS Companion for Nonparametric Statistics
Price: 11.99 USD
Availability: InStock
ISBN: 9780534422202

ISBN-10: 0534422209

ISBN-13: 9780534422202

Edition: 2006

Authors: Scott J. Richter, James J. Higgins

List price: $199.95

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Need a guide to using SAS to carry out non-parametric analysis? SAS COMPANION FOR NONPARAMETRIC STATISTICS provides an excellent knowlege base and provides examples you can use to practice using the program. All SAS examples presented are self-contained and can be entered into SAS as they appear, and executed. Thus, you don't have to deal with issues of creating SAS data sets before using the programs. In addition to presenting the SAS code to obtain various nonparametric analyses, brief introductions to the methods themselves are provided. Particular attention is given to how SAS calculates the results it presents.

Book details

List price: $199.95
Copyright year: 2006
Publisher: Brooks/Cole
Publication date: 6/1/2005
Binding: Paperback
Pages: 128
Size: 7.50" wide x 9.00" long x 0.50" tall
Weight: 0.440

James J. Higgins is Professor of Statistics at Kansas State University and Fellow of the American Statistical Association. He is the co-author of the Duxbury textbook CONCEPTS IN PROBABILITY AND STOCHASTIC MODELING with Sallie Keller-McNulty and he is author of INTRODUCTION TO MODERN NONPARAMETRIC STATISTICS as well as having over 80 scientific publications to his credit. In addition, he is a statistical consultant for Kansas State Research and Extension. His research interests include nonparametric statistics and reliability theory.




One-Sample Methods


Binomial Test for the Median


A Confidence Interval for the Pth Quantile



Two-Sample Methods


A Two-Sample Permutation Test


Random Sampling the Permutations


The Wilcoxon Tank-Sum Test


Other Scoring Systems


Tests for Equality of Scale Parameters and Omnibus Tests


Nonparametric Bootstrap Methods for Two Samples



K-Sample Methods


K-Sample Permutation Tests


The Kruskal-Wallis Test


Multiple Comparisons


Ordered Alternatives



Paired Comparisons and Blocked Designs


Paired Comparisons


Friedman's Test for Randomized Complete Block Design



Tests of Association for Bivariate Data


Measures of Association for Bivariate Data


Summary of Options for Obtaining P-values for Measures of Association



Tests of Association for Contingency Tables


Measures of Association for Contingency Tables


Chi-Square and Permutation Tests for Contingency Tables


Fisher's Exact Test for a 2X2 Contingency Table


Contingency Tables with Ordered Categories


Tables with Multiple Strata


McNemar's Test



Analysis of Censored Data


Estimating The Survival Function


Permutation Test for Type I and Type II Censored Data


Permutation Tests for Randomly Censored Data


Comparing Survival Functions



Multivariate Permutation Tests


Tests Based on Raw Data


Tests Based on Ranks



Smoothing Methods and Robust Model Fitting


Estimating the Probability Density Function


Nonparametric Curve Smoothing


Robust Regression