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LINEAR REGRESSION ANALYSIS: THEORY AND COMPUTING

LINEAR REGRESSION ANALYSIS: THEORY AND COMPUTING

LINEAR REGRESSION ANALYSIS: THEORY AND COMPUTING
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LINEAR REGRESSION ANALYSIS: THEORY AND COMPUTING Hardback - 2009 - 1st Edition

by Yan Xin

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Details

  • Title LINEAR REGRESSION ANALYSIS: THEORY AND COMPUTING
  • Author Yan Xin
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 348
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Company, U.S.A
  • Publication date 2009-07-01
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # 9812834109.G
  • ISBN 9789812834102 / 9812834109
  • Weight 1.41 lbs (0.64 kg)
  • Dimensions 9 x 6.1 x 1 in (22.86 x 15.49 x 2.54 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 2009012000
  • Dewey Decimal Code 519.536
  • Quantity available 1

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Reader reviews for LINEAR REGRESSION ANALYSIS: THEORY AND COMPUTING

From the publisher

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.

Media reviews

Citations

  • Scitech Book News, 12/01/2009, Page 38
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