Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition  book cover
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5th Edition

Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition




ISBN 9781439858011
Published April 27, 2011 by Chapman & Hall
1926 Pages 128 B/W Illustrations

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Book 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.

Table of 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. Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation). Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation). Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation). Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation). Inferential Statistical Test Employed with a Factorial Design (and Related Measures of Association/Correlation). Measures of Association/Correlation. Multivariate Statistical Analysis. Appendix: Tables. Index.

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Author(s)

Biography

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

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