Regression analysis by example.

By: Chatterjee, SampritContributor(s): Hadi, Ali SMaterial type: TextTextSeries: Wiley series in probability and statisticsPublication details: Hoboken, New Jersey : Wiley, [2012]Edition: Fifth editionDescription: xv, 393 pages : illustrationsISBN: 9780470905845 (hardback)Subject(s): Regression analysis | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 519.536
Contents:
Simple linear regression -- Multiple linear regression -- Regression diagnostics: detection of model violations -- Qualitative variables as predictors -- Transformation of variables -- Weighted least squares -- The problem of correlated errors -- Analysis of collinear data -- Working with collinear data -- Variable seleation procedures -- Logistic regression -- Further topics.
Summary: "This Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The coverage offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique"--
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Reference Books Reference Books Main Library
Reference 		Reference 519.536 CHA (Browse shelf(Opens below)) Available 015755
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Includes index.

Simple linear regression --
Multiple linear regression --
Regression diagnostics: detection of model violations --
Qualitative variables as predictors --
Transformation of variables --
Weighted least squares --
The problem of correlated errors --
Analysis of collinear data --
Working with collinear data --
Variable seleation procedures --
Logistic regression --
Further topics.

"This Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The coverage offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique"--

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