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Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition

By David J. Sheskin

Chapman and Hall/CRC – 2011 – 1,926 pages

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    978-1-43-985801-1
    April 27th 2011

Description

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.

New in the Fifth Edition:

  • Substantial updates and new material throughout
  • New chapters on path analysis, meta-analysis, and structural equation modeling
  • Index numbers and time series analysis applications in business and economics
  • Statistical quality control applications in industry
  • Random- and fixed-effects models for the analysis of variance

Broad in scope, the Handbook is intended for individuals involved in a wide spectrum of academic disciplines encompassing the fields of mathematics, the social, biological, and environmental sciences, business, and education. A reference for statistically sophisticated individuals, the Handbook is also accessible to those lacking the theoretical or mathematical background required for understanding subject matter typically documented in statistics reference books.

Reviews

all procedures are presented in detail. … it is a reference book par excellence. It is very well edited and produced. I cannot think of a single-volume text which is close to the range and depth of this handbook. Professor Sheskin writes clearly and accessibly … There is substantial material that any applied statistician, regardless of their interests or training, should know about and this handbook provides that and more in one remarkable volume. I am sure that this new edition of Sheskin’s handbook will be an extremely useful resource for researchers … and also an invaluable reference for teachers and students who are engaged in applied statistics courses. … I very much recommend it.

—Mario Cortina-Borja, Journal of the Royal Statistical Society, Series A, 2012

Praise for the Fourth Edition:

I recommend this book for those who already know which statistical test they want to apply and who want to learn how to do it, step by step, from the data to the conclusion. I also recommend it for teachers who will find a lot of good examples they can use within their courses.

—Philippe Castagliola, Journal of Applied Statistics, November 2007

This book occupies a unique place in the literature. I am sure I will come back to it to check a statistical test.

—Kostas Triantafyllopoulos, Significance, December 2007

… provides both depth and breadth of coverage … I can safely recommend this book as a handy resource manual for researchers and applied practitioners as well as a textbook for students majoring in disciplines other than statistics.

Technometrics, November 2007

Contents

Introduction

Outline of Inferential Statistical Tests and Measures of Correlation/Association

Guidelines and Decision Tables for Selecting the Appropriate Statistical Procedure

Inferential Statistical Tests Employed with a Single Sample

The Single-Sample z Test

The Single-Sample t Test

The Single-Sample Test for Evaluating Population Skewness

The Single-Sample Test for Evaluating Population Kurtosis

The Wilcoxon Signed-Ranks Test

The Kolmogorov–Smirnov Goodness-of-Fit Test for a Single Sample

The Chi-Square Goodness-of-Fit Test

The Binomial Sign Test for a Single Sample

The Single-Sample Runs Test (and Other Tests of Randomness)

Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation)

The t Test for Two Independent Samples

The Mann–Whitney U Test

The Kolmogorov–Smirnov Test for Two Independent Samples

The Siegel–Tukey Test for Equal Variability

The Moses Test for Equal Variability

The Chi-Square Test for r × c Tables

Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation)

The t Test for Two Dependent Samples

The Wilcoxon Matched-Pairs Signed-Ranks Test

The Binomial Sign Test for Two Dependent Samples

The McNemar Test

Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation)

The Single-Factor Between-Subjects Analysis of Variance

The Kruskal–Wallis One-Way Analysis of Variance by Ranks

The van der Waerden Normal Scores Test

Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation)

The Single-Factor Within-Subjects Analysis of Variance

The Friedman Two-Way Analysis of Variance by Ranks

The Cochran Q Test

Inferential Statistical Test Employed with a Factorial Design (and Related Measures of Association/Correlation)

The Between-Subjects Factorial Analysis of Variance

Measures of Association/Correlation

The Pearson Product-Moment Correlation Coefficient

Spearman’s Rank-Order Correlation Coefficient

Kendall's Tau

Kendall's Coefficient of Concordance

Goodman and Kruskal's Gamma

Multivariate Statistical Analysis

Matrix Algebra and Multivariate Analysis

Multiple Regression

Hotelling’s T2

Multivariate Analysis of Variance

Multivariate Analysis of Covariance

Discriminant Function Analysis

Canonical Correlational

Logistic Regression

Principal Components Analysis and Factor Analysis

Path Analysis

Structural Equation Modeling

Meta-Analysis

Appendix: Tables

Table of the Normal Distribution

Table of Student’s t Distribution

Power Curves for Student’s t Distribution

Table of the Chi-Square Distribution

Table of Critical T Values for Wilcoxon’s Signed-Ranks and Matched-Pairs Signed-Ranks Tests

Table of the Binomial Distribution, Individual Probabilities

Table of the Binomial Distribution, Cumulative Probabilities

Table of Critical Values for the Single-Sample Runs Test

Table of the Fmax Distribution

Table of the F Distribution

Table of Critical Values for Mann–Whitney U Statistic

Table of Sandler’s A Statistic

Table of the Studentized Range Statistic

Table of Dunnett’s Modified t Statistic for a Control Group Comparison

Graphs of the Power Function for the Analysis of Variance

Table of Critical Values for Pearson r

Table of Fisher’s zr Transformation

Table of Critical Values for Spearman’s Rho

Table of Critical Values for Kendall’s Tau

Table of Critical Values for Kendall’s Coefficient of Concordance

Table of Critical Values for the Kolmogorov–Smirnov Goodness-of-Fit Test for a Single Sample

Table of Critical Values for the Lilliefors Test for Normality

Table of Critical Values for the Kolmogorov–Smirnov Test for Two Independent Samples

Table of Critical Values for the Jonckheere–Terpstra Test Statistic

Table of Critical Values for the Page Test Statistic

Table of Extreme Studentized Deviate Outlier Statistic

Table of Durbin–Watson Test Statistic

Constants Used for Estimation and Construction of Control

Charts

Index

Author Bio

David Sheskin is Professor of Psychology at Western Connecticut State University with a specialization in statistics and research design.

Name: Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition (Hardback)Chapman and Hall/CRC 
Description: By David J. Sheskin. Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and...
Categories: Statistical Theory & Methods, Psychological Methods & Statistics, Statistics & Probability