Multivariate Analysis deals with observations on more than one variable where there is some inherent interdependence between the variables. With several texts already available in this area, one may very well enquire of the authors as to the need for yet another book. Most of the available books fall into two categories, either theoretical or data analytic. The present book not only combines the two approaches but it also has been guided by the need to give suitable matter for the beginner as well as illustrating some deeper aspects of the subject for the research worker. Practical examples are kept to the forefront and, wherever feasible, each technique is motivated by such an example.
Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight .
For advanced undergraduate and graduate students in statistical science, this text provides a systematic description of both traditional and newer techniques in multivariate analysis and machine learning.
This is the sixth edition of a popular textbook on multivariate analysis.
For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned.
J. Amer. Statist. Assoc. 66, 534-544. LIN, Y. S. [1974]. Statistical measurement of agreement. Ph.D. dissertation, School of Statistics, ... In Revised Handbook of Social Psychology, edited by G. Lindzey and E. Aronson, Chapter 10.
Turk, M.A., 22, 704 Uitdenbogerd, A., 476, 704 Ultsch, A., 435, 704 Uthumsamy, R., 16, 679 Valdivia-Granda, W.A., 43, ... 36, 705 Williams, C.K.I., 613, 629, 705 Williams, R.J., 365 Williams, W.T., 420, 692 Wilson, R., 146, 680 Wishart, ...
We first find the convex hull of the data (i.e., the observations defining the convex hull) using the following R code: R> (hull with(USairpollution, ...
This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level.
This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal ...
This edition retains its conversational writing style while focusing on classical techniques.