Applying Contemporary Statistical Techniques

By

  • Rand Wilcox, University of Southern California

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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

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

 

Book information

  • Published: December 2002
  • Imprint: ACADEMIC PRESS
  • ISBN: 978-0-12-751541-0

Reviews

"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



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