Applying Contemporary Statistical Techniques
By (author) Rand R. Wilcox
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Applying Contemporary Statistical Techniques by Rand R. Wilcox
Book Description"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Contemporary Statistical Techniques" explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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. This work: 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; and covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books.
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Book DetailsISBN: 9780127515410
(254mm x 178mm x 38mm)
Imprint: Academic Press Inc
Publisher: Elsevier Science Publishing Co Inc
Publish Date: 16-Jan-2003
Country of Publication: United States
Books By Author Rand R. Wilcox
Understanding and Applying Basic Statistical Methods Using R, Hardback (July 2016)
Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians.
Basic Statistics, Hardback (July 2009)
Basic Statistics introduces students to basic principles and concepts in a simple manner that takes into account the many relevant advances and insights developed during the last half century that are ignored in the typical introductory course.
Introduction to Robust Estimation and Hypothesis Testing, Hardback (January 2005)» View all books by Rand R. Wilcox
Provides an explanation of the foundation of robust methods, incorporating R and S-Plus, robust ANOVA (Analysis of Variance) and regression. This work focuses on the practical applications of robust methods. It covers developments in robust regression, and improvements in ANOVA. It also includes rank-based methods.
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Author Biography - Rand R. Wilcox
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, education and psychology. Wilcox is an internationally recognized expert in the field of Applied Statistics and has concentrated much of his research in the area of ANOVA and Regression. Wilcox is the author of 12 books on statistics and has published many papers on robust methods. He is currently an Associate Editor for four statistics journals and has served on many editorial boards. He has given numerous invited talks and workshops on robust methods.
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