Editorial Review:

This classic multivariate statistics book has become the introduction of choice for researchers and students with a minimal mathematics background. In addition to providing a review of fundamental statistical methods, it provides a basic treatment of advanced computer-based multivariate analytical techniques; including correlation and regression analysis, analysis of variance, discriminant analysis, factor analysis, cluster analysis, and multidimensional scaling. The conceptual treatment emphasizes the rationales, applications, and interpretations, rather than the theoretical mathematical aspects of the most commonly used data analysis techniques in use today, closing the gap between spiraling technology and its intelligent application, providing students and researchers with a decided advantage in their future studies and careers.

Its conceptual non-mathematical approach is especially helpful to students, researchers, and managers in the social and health sciences, education, and business. It is also the ideal springboard for those who will pursue advanced study of these powerful multivariate techniques.

Customer Reviews:

Avg. Customer Rating: 4.5 / 5.0

fine, but unsatisfying:

I agree with many of the comments other reviewers have offered. It's a solid book--clear, organized, visually fairly effective, and occasionally interesting. But since it goes into decision points or applied examples so seldom, and almost never in any depth, I kept coming away from the self-contained chapters with a feeling that something was lacking.
It may well serve as one of your more important reference books, but I doubt it will be your preferred source on any topic.

best statistical intro without lots of math:

well worth every penny or cent.
clear examples on the nuts and bolts of statistical modelling.
highly recommended for the beginner to the expert to fill in the gaps in statistics.

Just the concepts, done well.:

As a statistics software trainer, most folks that I meet are not looking for a book that explains how to use a method by hand, without the computer. Unfortunately almost all the books you will find on Multivariate Stats will be very large tomes bloated with formulas and exercises. This book in contrast is: 1) an easy read; 2) focusing on the concepts behind the technique; 3) is reasonably priced; and 4) is not a door stopper. Check out the table of contents. You will probably find the technique you need.... more info

Multivariate Statistical Analysis:

I am enrolled in a Risk Management course. Without any previous statistics courses I was struggling. My professor recommended this book and it changed everything for me. I was actually able to learn and understand statistics from the beginning to multivariate analysis from this book. It made it so very plain and simple. I am now successfully going forward again. I would recommend this to anyone from beginner to Masters level who needs a reference at hand.

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