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Applying Contemporary Statistical Techniques

2010-07-01 
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Applying Contemporary Statistical Techniques 去商家看看

 Applying Contemporary Statistical Techniques


基本信息·出版社:Academic Press
·页码:608 页
·出版日期:2003年01月
·ISBN:0127515410
·条形码:9780127515410
·装帧:精装
·正文语种:英语

内容简介 在线阅读本书

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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
作者简介 Rand R. Wilcox has a Ph.D. in psychometrics, is a professor of psychology at the University of Southern California, and a Fellow of the Royal Statistics Society and American Psychological Society. He 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. He has authored twobooks and more than 130 journal articles.


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

"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

Review
"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

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