Applying Contemporary Statistical Techniques

1st Edition

Print ISBN: 9780123907844
eBook ISBN: 9780080527512
Imprint: Academic Press
Published Date: 23rd December 2002
Page Count: 608
109.95 + applicable tax
66.99 + applicable tax
78.95 + applicable tax
Compatible Not compatible
VitalSource PC, Mac, iPhone & iPad Amazon Kindle eReader
ePub & PDF Apple & PC desktop. Mobile devices (Apple & Android) Amazon Kindle eReader
Mobi Amazon Kindle eReader Anything else

Institutional Access


Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible.

Key Features

  • Assumes no previous training in statistics
  • Explains how and why modern statistical methods provide more accurate results than conventional methods
  • Covers the latest developments on multiple comparisons
  • Includes recent advances in risk-based methods
  • Features many illustrations and examples using data from real studies
  • Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques
  • Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books


Statisticians, practitioners, and students in social sciences and related fields.

Table of Contents

Introduction; Probability and Related Concepts; Summarizing Data; Sampling Distributions and Confidence Intervals; Hypothesis Testing; Least Squares Regression and Pearson's Correlation; Basic Bootstrap Methods; Comparing Two Independent Groups; One-Way Anova; Two-Way Anova; Comparing Dependent Groups; Multiple Comparisons; Detecting Outliers in Multivariate Data; More Regression Methods; Rank-Based and Nonparametric Methods


No. of pages:
© Academic Press 2003
Academic Press
eBook ISBN:
Hardcover ISBN:
Paperback ISBN:


"The book is quite unique in that it offers a lot of up-to-date statistical tools. No other book at this level comes close in this aspect." - Xuming He, University of Illinois, Urbana