Multivariate Statistical Analysis: A Conceptual Introduction, 2nd Edition

by Sam Kash Kachigan

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.

Genres: Mathematics

303 pages, Paperback

First published January 1, 1982

Reviews

[Ramiro · Rating 3 out of 5]

I took some time, but I finished it. It is a very cursory introduction to statistical analysis, either univariate or multivariate. Useful to get a general overview of the field, but it won't help you too much in mastering the subject. The multivariate aspect is specially understated, but it allows you to focus on the use of the tools instead of the theory.

[TK Keanini · Rating 5 out of 5]

One of the best introduction to the craft. You could easily have called this book "bi-directional translation of the world of numbers to the world of words"

[Darin]

This is a gentle introduction to the subject. It's OK as an introduction, but it is missing some topics such as principal component analysis.

[Amanda Michelle Jones · Rating 5 out of 5]

i LOVED this book! mind you, i am NOT a math person and i really struggled in my stats class. but this book made a lot of things clear that i couldn't understand from other sources. i only wish it went into logistic regression.