Thus PARC is an empirical but general approach to the analysis of multivariate data, empirical in the sense that few fundamental assumptions or models are needed to perform the analysis.
The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field.
For graduate and upper-level undergraduate marketing research courses.For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis.
KEY BENEFIT: For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair, et. al provides an applications-oriented introduction...
"This is an ideal text for advanced undergraduate and graduate courses across the social sciences. Practitioners who need to refresh their knowledge of MDA will also find this an invaluable resource."--BOOK JACKET.
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, ...
Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
Texts in Statistical Science Series Series Editors C. Chatfield , University of Bath , UK Jim Lindsey , University of ... Jr. Computer - Aided Multivariate Analysis , Third Edition A.A. Afifi and V.A. Clark A Course in Categorical Data ...
Designed for the non-statistician, this applications-oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used, while focusing instead on the fundamental concepts that affect the...
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.