Title: Multivariate Statistical Analysis: A Conceptual Introduction, 2nd Edition
Publisher: Radius Pr
Publication Date: 1991
Language: English
ISBN 10: 0942154916
ISBN 13: 9780942154917
Binding: paperback
Edition: 2nd Edition
Condition: New

About this title

Synopsis

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.

About the Author

Sam Kash Kachigan is the author of several innovative books in mathematics and psychology, including "Multivariate Statistical Analysis," "Statistical Analysis," "The Sexual Matrix," "The Game," and "Over 100 Traits of Truly Horrible People." His books have been used in graduate programs at over 300 leading universities, in over a dozen different academic disciplines. He is also a prolific photographer and experimental filmmaker. As such, he is one of very few individuals to have made significant contributions to both the arts and sciences. He was born in Wisconsin of immigrant Armenian parents, and received his inter-disciplinary education at the University of Wisconsin, The University of Washington, and Columbia University.