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SAS Multivariate Data Reduction - by  Ravindra Khattree & Dayanand N Naik (Paperback) - 1 of 1

SAS Multivariate Data Reduction - by Ravindra Khattree & Dayanand N Naik (Paperback)

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Highlights

  • Übersichtlich und gut verständlich erläutert dieses Buch multivariate statistische Methoden anhand praxisnaher Beispiele und Datensätze.
  • About the Author: Ravindra Khattree is an Indian-American statistician and professor of statistics at Oakland University.
  • 584 Pages
  • Computers + Internet, Mathematical & Statistical Software

Description



Book Synopsis



Übersichtlich und gut verständlich erläutert dieses Buch multivariate statistische Methoden anhand praxisnaher Beispiele und Datensätze. Der Schwerpunkt liegt darauf, den Leser zur sinnvollen Interpretation von Datenmaterial zu befähigen. Viel Raum wird der Diskussion von SAS-Code und dem zugehörigen Output gegeben, wobei die geeigneten SAS-Prozeduren an Beispielproblemen anschaulich erklärt werden.



From the Back 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.



Review Quotes




"...a core or supplementary text for graduate or senior undergraduate students, and a reference for researchers and practitioners." (SciTech Book News, Vol. 24, No. 4, December 2000)



About the Author



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.

Dimensions (Overall): 10.92 Inches (H) x 8.54 Inches (W) x 1.01 Inches (D)
Weight: 2.92 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 584
Genre: Computers + Internet
Sub-Genre: Mathematical & Statistical Software
Publisher: Crystal Dreams Publishing
Format: Paperback
Author: Ravindra Khattree & Dayanand N Naik
Language: English
Street Date: August 14, 2000
TCIN: 1006740998
UPC: 9780471323006
Item Number (DPCI): 247-04-2563
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1.01 inches length x 8.54 inches width x 10.92 inches height
Estimated ship weight: 2.92 pounds
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