Stock photo: cover may vary
Multivariate Data Reduction and Discrimination with SAS Software Paperback - 2000 - 1st Edition
by Khattree, Ravindra
- Used
A$103.52
A$17.21
Delivery to USA
Standard delivery: 14 to 21 days
More delivery options
Standard delivery: 14 to 21 days
Ships from Phatpocket Limited (Essex, United Kingdom)
Details
- Title Multivariate Data Reduction and Discrimination with SAS Software
- Author Khattree, Ravindra
- Binding Paperback
- Edition number 1st
- Edition 1
- Condition Used - Good
- Pages 584
- Volumes 1
- Language ENG
- Publisher Wiley-SAS
- Publication date 2000-08-14
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # Z1-L-003-01264
- ISBN 9780471323006 / 0471323004
- Weight 2.92 lbs (1.32 kg)
- Dimensions 10.92 x 8.54 x 1.01 in (27.74 x 21.69 x 2.57 cm)
- Category Computers - Other Applications
- Library of Congress subjects Multivariate analysis - Data processing
- Library of Congress Catalogue Number 00028659
- Dewey Decimal Code 519.535
About Phatpocket Limited Essex, United Kingdom
Biblio member since 2006
Phatpocket Limited is a world class secondhand bookstore located in the Hertfordshire countryside in the United Kingdom. We specialize in textbooks across an enormous variety of subjects. We aim to provide a low cost source of high quality textbooks to the academic community. We also have a sizable collection of rare and collectible books.
We are dedicated to providing our customers with the highest standard of customer service in the bookselling business.
Books are usually shipped in 48 hours or less. All of our books have a 14 day no hassle money back guarantee unless stated otherwise in the book's description. Item must be returned in the exact same condition that it was received. Through our work with The Rainbow Centre and other Charity Partners, we have already given hundreds of young people in Sri Lanka and Africa the vital chance to get an education.
Reader reviews for Multivariate Data Reduction and Discrimination with SAS Software
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
From the rear cover
Multivariate data commonly encountered in a variety of disciplines is easy to understand with the approaches and methods described in Multivariate Data Reduction and Discrimination with SAS Software. Conceptual developments, theory, methods, and subsequent data analyses are presented systematically and in an integrated manner. Data analysis is performed using many multivariate analysis components available in SAS software. The book provides illustrations using ample numbers of real data sets drawn from a variety of fields, and special care is taken to explain the SAS programs and corresponding output. As a companion volume to their previous book, Applied Multivariate Statistics with SAS Software, Second Edition, which discusses multivariate normality-based analyses, this book covers topics where, for the most part, assuming multivariate normality (or any other distributional assumption) is not crucial. As the techniques discussed in the this book also form the foundation of data mining methodology, the book will be of interest to data mining practitioners.
Media reviews
Citations
- Scitech Book News, 12/01/2000, Page 39
