Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Multivariate Data Analysis

Multivariate Data Analysis BOOK REVIEWS 103 Chapter 3 deals with probability distributions, discrete and continuous den- cannot be used when an institution has only one course in nonparametric. It sities, distribution functions, bivariate distributions, means, variances, covari- is meant, as the author points out, to complement more method oriented text. ance, correlation, and some random process material. Chapter 4 is a detailed Many classical topics in nonparametric are missing. Clearly, graduate students study of the concept of utility including the psychological aspects, risk, at- or researchers who have internalized the basic concepts, already, will be thank- tributes, rules for utilities, multidimensional utility, and normal form of analy- ful for this book as an excellent and meticulous reference and this may become sis. ultimately the book’s main use. Chapter 5 treats games and optimization, linear optimization, and mixed Overall, I enjoyed reading this book very much. I like Wasserman’s intu- strategies. Entropy is the topic of Chapter 6 with sections devoted to en- itive explanations and careful insights into why one path or approach is taken over another. Most of all, I am impressed with the wealth of information on the tropy, disorder, information, Shannon’s theorem, demon’s roulette, Maxwell– subject of asymptotic nonparametric http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technometrics Taylor & Francis

Multivariate Data Analysis

Qu, Xianggui
Technometrics , Volume 49 (1): 2 – Feb 1, 2007
Download PDF
2 pages

Loading next page...
 
/lp/taylor-francis/multivariate-data-analysis-vOGL4CaLdx

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Taylor & Francis
Copyright
© American Statistical Association and the American Society for Quality
ISSN
1537-2723
eISSN
0040-1706
DOI
10.1198/tech.2007.s455
Publisher site
See Article on Publisher Site

Abstract

BOOK REVIEWS 103 Chapter 3 deals with probability distributions, discrete and continuous den- cannot be used when an institution has only one course in nonparametric. It sities, distribution functions, bivariate distributions, means, variances, covari- is meant, as the author points out, to complement more method oriented text. ance, correlation, and some random process material. Chapter 4 is a detailed Many classical topics in nonparametric are missing. Clearly, graduate students study of the concept of utility including the psychological aspects, risk, at- or researchers who have internalized the basic concepts, already, will be thank- tributes, rules for utilities, multidimensional utility, and normal form of analy- ful for this book as an excellent and meticulous reference and this may become sis. ultimately the book’s main use. Chapter 5 treats games and optimization, linear optimization, and mixed Overall, I enjoyed reading this book very much. I like Wasserman’s intu- strategies. Entropy is the topic of Chapter 6 with sections devoted to en- itive explanations and careful insights into why one path or approach is taken over another. Most of all, I am impressed with the wealth of information on the tropy, disorder, information, Shannon’s theorem, demon’s roulette, Maxwell– subject of asymptotic nonparametric

Journal

Technometrics – Taylor & Francis

Published: Feb 1, 2007

There are no references for this article.