Methods of Multivariate Analysis (Wiley Series in Probability and Statistics) | 
 enlarge | Author: Alvin C. Rencher
Publisher: Wiley-Interscience
Category: Book
List Price: $145.00
Buy New: $79.83
You Save: $65.17 (45%)
New (27) Used (15) from $71.05
Rating:  7 reviews
Sales Rank: 651321
Media: Hardcover
Edition: 2
Pages: 738
Number Of Items: 1
Shipping Weight (lbs): 2.3
Dimensions (in): 8.9 x 6.1 x 1.5
ISBN: 0471418897
Dewey Decimal Number: 519.535
EAN: 9780471418894
Publication Date: March 7, 2002
Availability: Usually ships in 1-2 business days
| |
| Similar Items:
|
| Editorial Reviews:
Product Description
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on: - Cluster analysis
- Multidimensional scaling
- Correspondence analysis
- Biplots
Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.
|
| Customer Reviews: Read 2 more reviews...
 Rencher writes very well May 19, 2008
Michael R. Chernick (Holland PA)
36 out of 36 found this review helpful
This is a clearly written text on multivariate analysis. As there are many excellent texts both involving theory and applications, using geometric approaches as in Eaton's biik and algebraic approaches as in Anderson's it is important to know the differences and the avanatges and disadvantages to each. Rencher's book has a lot of good applications and is very applications oriented in its approach. It does not cover structural equation models. The field of multivariate statistics is very broad and topics such as classification (or pattern recognition), structural equation models and factor analysis are often better understood by reading specialized texts such as McLachlan for pattern recognition, Bollen for structural equations and Harman for factor analysis.
Rencher's book is modern, well-written and very much up to date.
Very Helpful! February 14, 2003
17 out of 17 found this review helpful
This book is great! Some derivations and occasional proofs are included in the text, but it has clearly been written with the applied researcher in mind. In the author's words he has provided "careful intuitive explanations of the concepts and [has] included many insights typically available only in journal articles or in the minds of practitioners" with his primary objective being "clarity of exposition." I have found it to be very easy to read with numerous helpful examples (the data sets and SAS command files for which are available via an ftp site). This brand new version includes new chapters on cluster analysis, multidimensional scaling, correspondence analysis, and biplots.
concise and clear March 28, 2006
Chen, Yi (Beijing, China)
2 out of 2 found this review helpful
This textbook provides a comprehensive introduction to multivariate analysis. Although concise, the explanation is clear and intuitive, of course, some preliminary knowledge of statistics and linear algabra is necessary to follow this book.
Multivariate analysis book April 1, 2008
Alba76 (Lleida, Spain)
0 out of 1 found this review helpful
The book was brand new. It arrived to me in perfect conditions although having been travelled from USA to Europe. The shipment was fast and cheap.
I will repeat. Thanks!
good business February 15, 2008
Sauret (usa)
0 out of 3 found this review helpful
exactly what it says on the cover, good dealer, do recommend (the seller) hte book s good too, however multivariate analysis is not easy...
|
|
|
