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Handbook of regression analysis /

Chatterjee, Samprit, (1938-)

Handbook of regression analysis /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook of regression analysis /Samprit Chatterjee, Jeffrey S. Simonoff.
作者:	Chatterjee, Samprit,
其他作者:	Simonoff, Jeffrey S.
出版者:	Hoboken, New Jersey :Wiley,c2013.
面頁冊數:	xiv, 236 p. :ill. ;25 cm.
附註:	"Written by two established experts in the field, the purpose of this handbook is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of the subject matter, but it is deliberately written at an accessible level. The handbook will provide a quick and convenient reference or "refresher" on ideas and methods that are useful for the accurate analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (such as linear, nonlinear, and nonparametric regressions). Plentiful references are supplied for the more motivated readers. Theory is presented when necessary, and always supplemented by hands-on examples. Software routines are available via an author-maintained web site"--Provided by publisher.
標題:	Regression analysisTextbooks.
電子資源:	http://catalogimages.wiley.com/images/db/jimages/9780470887165.jpg
ISBN:	0470887168

Handbook of regression analysis /
Chatterjee, Samprit,1938-

Handbook of regression analysis /Samprit Chatterjee, Jeffrey S. Simonoff. - Hoboken, New Jersey :Wiley,c2013. - xiv, 236 p. :ill. ;25 cm. - Wiley handbooks in applied statistics. - Wiley handbooks in applied statistics..

"Written by two established experts in the field, the purpose of this handbook is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of the subject matter, but it is deliberately written at an accessible level. The handbook will provide a quick and convenient reference or "refresher" on ideas and methods that are useful for the accurate analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (such as linear, nonlinear, and nonparametric regressions). Plentiful references are supplied for the more motivated readers. Theory is presented when necessary, and always supplemented by hands-on examples. Software routines are available via an author-maintained web site"--Provided by publisher.

Includes bibliographical references (p. 227-230) and index.

Part I. The multiple linear regression model -- 1. Multiple linear regression -- 2. Model building -- Part II. Addressing violations of assumptions -- 3. Diagnostics for unusual observations -- 4. Transformations and linearizable models -- 5. Time series data and autocorrelation -- Part III. Categorical predictors -- 6. Analysis of variance -- 7. Analysis of covariance -- Part IV. Other regression models -- 8. Logistic regression -- 9. Multinomial regression -- 10. Count regression -- 11. Nonlinear regression.

ISBN: 0470887168

Standard No.: 40022068875

LCCN: 2012045175

Nat. Bib. No.: GBB396532bnbSubjects--Topical Terms:

436918
Regression analysis
--Textbooks.

LC Class. No.: QA278.2 / .C498 2013

Dewey Class. No.: 519.5/36

Handbook of regression analysis /
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500 $a "Written by two established experts in the field, the purpose of this handbook is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of the subject matter, but it is deliberately written at an accessible level. The handbook will provide a quick and convenient reference or "refresher" on ideas and methods that are useful for the accurate analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (such as linear, nonlinear, and nonparametric regressions). Plentiful references are supplied for the more motivated readers. Theory is presented when necessary, and always supplemented by hands-on examples. Software routines are available via an author-maintained web site"--Provided by publisher.
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505 0 $a Part I. The multiple linear regression model -- 1. Multiple linear regression -- 2. Model building -- Part II. Addressing violations of assumptions -- 3. Diagnostics for unusual observations -- 4. Transformations and linearizable models -- 5. Time series data and autocorrelation -- Part III. Categorical predictors -- 6. Analysis of variance -- 7. Analysis of covariance -- Part IV. Other regression models -- 8. Logistic regression -- 9. Multinomial regression -- 10. Count regression -- 11. Nonlinear regression.
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