Multivariate Data Reduction and Discrimination with SAS Software
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A01=Dayanand N. Naik
A01=Ravindra Khattree
ample
analysis
Author_Dayanand N. Naik
Author_Ravindra Khattree
available
Category=PBT
Category=UF
commonly
components
data
data analyses
disciplines
drawn
easy
encountered
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fields
integrated
manner
many
methods
multivariate
numbers
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sas
software
subsequent
systematically
variety
Product details
- ISBN 9780471323006
- Weight: 1225g
- Dimensions: 206 x 279mm
- Publication Date: 31 Jul 2000
- Publisher: John Wiley & Sons Inc
- Publication City/Country: US
- Product Form: Paperback
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Easy to read and comprehensive, this book presents descriptive multivariate (DMV) statistical methods using real-world problems and data sets. It offers a unique approach to integrating statistical methods, various kinds of advanced data analyses, and applications of the popular SAS software aids. Emphasis is placed on the correct interpretation of output to draw meaningful conclusions in a variety of disciplines and industries.
Ravindra Khattree is an Indian-American statistician and professor of statistics at Oakland University. His contribution to the Fountain-Khattree-Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. Dayanand N. Naik is the author of Multivariate Data Reduction and Discrimination with SAS Software, published by Wiley.
