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Linear regression analysis = theory ...
~
Yan, Xin, (1955-{me_controlnum})
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Linear regression analysis = theory and computing /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Linear regression analysis/ Xin Yan, Xiao Gang Su.
Reminder of title:
theory and computing /
Author:
Yan, Xin,
other author:
Su, Xiaogang,
Published:
Singapore ;World Scientific Pub. Co., : c2009.,
Description:
xix, 328 p. :ill. (some col.)
Subject:
Regression analysis. -
Online resource:
http://www.worldscientific.com/worldscibooks/10.1142/6986#t=toc
ISBN:
9789812834119 (electronic bk.)
Linear regression analysis = theory and computing /
Yan, Xin,1955-{me_controlnum}
Linear regression analysis
theory and computing /[electronic resource] :Xin Yan, Xiao Gang Su. - Singapore ;World Scientific Pub. Co.,c2009. - xix, 328 p. :ill. (some col.)
Includes bibliographical references (p. 317-324) and index.
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.
Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2009.
System requirements: Adobe Acrobat Reader.
ISBN: 9789812834119 (electronic bk.)Subjects--Topical Terms:
529831
Regression analysis.
LC Class. No.: QA278.2
Dewey Class. No.: 519.536
Linear regression analysis = theory and computing /
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Includes bibliographical references (p. 317-324) and index.
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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.
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http://www.worldscientific.com/worldscibooks/10.1142/6986#t=toc
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Attachments
W9144728
電子資源
11.線上閱覽_V
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EB QA278.2
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