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Handbook of regression analysis /
~
Chatterjee, Samprit, (1938-)
Handbook of regression analysis /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Handbook of regression analysis /Samprit Chatterjee, Jeffrey S. Simonoff.
Author:
Chatterjee, Samprit,
other author:
Simonoff, Jeffrey S.
Published:
Hoboken, New Jersey :Wiley,c2013.
Description:
xiv, 236 p. :ill. ;25 cm.
Notes:
"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.
Subject:
Regression analysisTextbooks.
Online resource:
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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"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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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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西方語文圖書區(四樓)
1圖書
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QA278.2 C495 2013
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http://catalogimages.wiley.com/images/db/jimages/9780470887165.jpg
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