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Applied Multivariate Techniques
This book is the result of many years of teaching graduate courses on multivariate statistics. The students in these courses were primarily from business, sciences, and behavioral sciences, and were interested in getting a good working knowledge of the multivariate data analytic techniques without getting bogged down with derivations and/or rigorous proofs. That is, consistent with the needs of today's managers, the stu Jents were more interested in knowing when to correctly use a particular technique and its interpretation rather than the mechanics of the technique. The available textbooks were either too technical or were too applied and cookbook in nature. The technical books concentrated more on derivation of the techniques and less on interpretation of the results. On the other hand, books with a cookbook approach did not provide much discussion of the techniques and essentially provided a laundry list of the dos and don'ts. This motivated me to develop notes for the various topics that would emphasize the con-cepts of a given technique and its application without using matrix algebra and proofs Extensive in-class testing and refining of these notes resulted in this book.
My approach here is to make statistics a "kinder and gentler" subject by introducing students to the various multivariate techniques used in businesses without intimidating them with mathematical derivations. The main emphasis is on when to use the various data analytic techniques and how to interpret the resulting output obtained from the most widely used statistical packages (e.g., SPSS and SAS). This book achieves these objectives using the following strategy.
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