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Multivariate Statistical Analysis: A Conceptual Introduction

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Title: Multivariate Statistical Analysis: A Conceptual Introduction
by Sam Kash Kachigan
ISBN: 0-942154-91-6
Publisher: Radius Press
Pub. Date: June, 1991
Format: Paperback
Volumes: 1
List Price(USD): $29.95
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Average Customer Rating: 4.83 (12 reviews)

Customer Reviews

Rating: 5
Summary: A clear, conceptual guide to statistical analysis
Comment: There are many resources for learning the "how" of doing statistical analysis. Few, however, give a good explanation of the concepts that underlie "why" things are done that way. This book explains the essential concepts that are the foundation of statistical analysis. It is written to appeal to a wide audience, regardless of area of expertise, and will give you the bases to understand statistical analysis. It's a generally easy read, and far better than any other statistics book I've ever seen. If your position requires a general overview of statistical methods, this is the top choice.

Rating: 5
Summary: An intuitive introduction--not strictly mathematical.
Comment: Kachigan has successfully reduced his introduction to multivariate statistics to descriptive, if somewhat figurative, explanations of the ideas behind the subject, without constantly resorting to a formulas-only approach.Some authors make the mistake of forgetting what that key word in their title means--introduction: an explanation in terms understood by those unfamiliar with the subject.But Kachigan uses analogies and examples to explain the concepts of multivariate statistical analysis to the benefit of those who want to understand the concept before they attempt the practice. This is always the best way to learn ideas. Books that ignore the need to have a clear idea of why things are done do a disservice to those who study them. After reading Kachigan's direct and concise explanations, I wished that I had found him sooner. I intend to purchase his "Statistical Analysis: An Interdisciplinary Introduction to Univariate and Multivariate Methods" as a reference to occasionally check my own explanations of statistical methods in my research papers. My professors say that my understanding of these concepts seems to have improved. They should not be surprised--they recommended this book.

Rating: 5
Summary: Serious and Simple
Comment: If you need to learn or review basic statistical concepts this book will be a great help. It walks you through all the relevant material without tedious proofs or cryptic formulae. The book targets both the novice and the seasoned professional. Good for engineers, software measurement professionals, social scientists and all those who would like to learn about correlation, regression, ANOVA, discriminant analysis, factor analysis, etc. without going through heavy mathematics.

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