Applying Contemporary Statistical Techniques by Rand R. WilcoxApplying Contemporary Statistical Techniques by Rand R. Wilcox

Applying Contemporary Statistical Techniques

byRand R. WilcoxEditorRand R. Wilcox

Hardcover | December 23, 2002

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Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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.

* 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

About The Author

Rand R. Wilcox has a Ph.D. in psychometrics, and is a professor of psychology at the University of Southern California. Wilcox's main research interests are statistical methods, particularly robust methods for comparing groups and studying associations. He also collaborates with researchers in occupational therapy, gerontology, biology...
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Details & Specs

Title:Applying Contemporary Statistical TechniquesFormat:HardcoverDimensions:608 pages, 10 × 7 × 0.98 inPublished:December 23, 2002Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0127515410

ISBN - 13:9780127515410

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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

Editorial Reviews

"...it offers a lot of up-to-date statistical tools. No other book at this level comes close..."
- Xuming He, University of Illinois, Urbana