Multivariate Statistical Analysis: A Conceptual Introduction | 
 enlarge | Author: Sam Kash Kachigan
Publisher: Radius Press
Category: Book
List Price: $29.95
Buy New: $15.00
You Save: $14.95 (50%)
New (18) Used (24) from $10.24
Rating:  21 reviews
Sales Rank: 75478
Media: Paperback
Edition: 2nd
Number Of Items: 1
Pages: 303
Shipping Weight (lbs): 1
Dimensions (in): 9 x 6.1 x 0.7
ISBN: 0942154916
Dewey Decimal Number: 519.535
EAN: 9780942154917
ASIN: 0942154916
Publication Date: June 1991
Availability: Usually ships in 1-2 business days
| |
| Also Available In:
|
| Similar Items:
|
| Editorial Reviews:
Product Description
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.
|
| Customer Reviews: Read 16 more reviews...
 fine, but unsatisfying December 24, 2008
I agree with many of the comments other reviewers have offered. It's a solid book--clear, organized, visually fairly effective, and occasionally interesting. But since it goes into decision points or applied examples so seldom, and almost never in any depth, I kept coming away from the self-contained chapters with a feeling that something was lacking.
It may well serve as one of your more important reference books, but I doubt it will be your preferred source on any topic.
 best statistical intro without lots of math September 24, 2007
well worth every penny or cent.
clear examples on the nuts and bolts of statistical modelling.
highly recommended for the beginner to the expert to fill in the gaps in statistics.
Just the concepts, done well. June 27, 2007
1 out of 1 found this review helpful
As a statistics software trainer, most folks that I meet are not looking for a book that explains how to use a method by hand, without the computer. Unfortunately almost all the books you will find on Multivariate Stats will be very large tomes bloated with formulas and exercises. This book in contrast is: 1) an easy read; 2) focusing on the concepts behind the technique; 3) is reasonably priced; and 4) is not a door stopper. Check out the table of contents. You will probably find the technique you need. Factor Analysis, Cluster Analysis, etc. are all represented. If you are an SPSS user, as I am, you won't find any pictures of SPSS, or step by step instructions. You will find only the theory behind the techniques, but there is more than enough great content here to warrant adding it to your library. Not only that, most step by step guides skimp on the theory, so it is best that you get one of each. Check out Norusis for good books for "step by step" in SPSS. She also does a good job at the theory, but Kachigan gets the highest grade for explaining theory.
Multivariate Statistical Analysis May 7, 2007
3 out of 3 found this review helpful
I am enrolled in a Risk Management course. Without any previous statistics courses I was struggling. My professor recommended this book and it changed everything for me. I was actually able to learn and understand statistics from the beginning to multivariate analysis from this book. It made it so very plain and simple. I am now successfully going forward again. I would recommend this to anyone from beginner to Masters level who needs a reference at hand.
 A good start February 17, 2007
1 out of 1 found this review helpful
This small book it's a good way for experiencing in multiv. stat. analysis. It's very understandable and easy to read.
|
|
|
