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Applied linear regression /

Weisberg, Sanford, (1947-)

Applied linear regression /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied linear regression /Sanford Weisberg.
作者:	Weisberg, Sanford,
出版者:	Hoboken, NJ :Wiley,c2014.
面頁冊數:	xvii, 340 p. :ill. ;24 cm.
標題:	Regression analysis.
電子資源:	http://catalogimages.wiley.com/images/db/jimages/9781118386088.jpg
ISBN:	1118386086 (hbk.) :

Applied linear regression /
Weisberg, Sanford,1947-

Applied linear regression /Sanford Weisberg. - 4th ed. - Hoboken, NJ :Wiley,c2014. - xvii, 340 p. :ill. ;24 cm. - Wiley series in probability and statistics.

Includes bibliographical references (p. 317-328) and index.

"Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"--

ISBN: 1118386086 (hbk.) :NT$1580

LCCN: 2013026538Subjects--Topical Terms:

181872
Regression analysis.

LC Class. No.: QA278.2 / .W44 2014

Dewey Class. No.: 519.5/36

Applied linear regression /
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020 $a 9781118386088 (hbk.)
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050 0 0 $a QA278.2 $b .W44 2014
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100 1 $a Weisberg, Sanford, $d 1947- $3 182278
245 1 0 $a Applied linear regression / $c Sanford Weisberg.
250 $a 4th ed.
260 $a Hoboken, NJ : $b Wiley, $c c2014.
300 $a xvii, 340 p. : $b ill. ; $c 24 cm.
490 0 $a Wiley series in probability and statistics
504 $a Includes bibliographical references (p. 317-328) and index.
520 $a "Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"-- $c Provided by publisher.
650 0 $a Regression analysis. $3 181872
856 4 2 $3 Cover image $u http://catalogimages.wiley.com/images/db/jimages/9781118386088.jpg