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- catalog abstract "The authors provide a systematic treatment of many of the major problems encountered in using regression analysis. Because it is likely that one or more of the assumptions of the regression model will be violated in a specific empirical analysis, the ability to know when problems exist and to take appropriate action helps to ensure the proper use of the procedure. Responding to this need, the authors clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting when such violations exist, and strategies for dealing with these problems when they arise.".
- catalog contributor b544417.
- catalog contributor b544418.
- catalog created "c1985.".
- catalog date "1985".
- catalog date "c1985.".
- catalog dateCopyrighted "c1985.".
- catalog description "Bibliography: p. 92-93.".
- catalog description "Series editor's introduction -- Acknowledgment -- 1. The multiple regression model: a review -- 2. Specification error. Consequences of specification error -- An illustration of specification error: satisfaction with life -- Detecting and dealing with specification error -- 3. Measurement error. Consequences of measurement error -- An illustration of measurement error : satisfaction with life -- Detecting measurement error -- Dealing with measurement error -- 4. Multicollinearity. Consequences of multicollinearity -- Detecting high multicollinearity -- An illustration of multicollinearity : satisfaction with life -- Dealing with multicollinearity -- 5. Nonlinearity and nonadditivity. Detecting nonlinearity and nonadditivity -- Dealing with nonlinearity -- Dealing with nonadditivity -- Some warnings about nonlinear and nonadditive specifications -- 6. Heteroscedasticity and autocorrelation. When heteroscedasticity and autocorrelation can be expected -- Consequences of heteroscedasticity and autocorrelation -- Detecting heteroscedasticity -- An illustration of heteroscedasticity : income and housing consumption -- Dealing with heteroscedasticity and autocorrelation -- 7. Additional concerns -- Notes -- References -- About the authors.".
- catalog description "The authors provide a systematic treatment of many of the major problems encountered in using regression analysis. Because it is likely that one or more of the assumptions of the regression model will be violated in a specific empirical analysis, the ability to know when problems exist and to take appropriate action helps to ensure the proper use of the procedure. Responding to this need, the authors clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting when such violations exist, and strategies for dealing with these problems when they arise.".
- catalog extent "95 p. :".
- catalog hasFormat "Multiple regression in practice.".
- catalog identifier "0803920547 (pbk.) :".
- catalog isFormatOf "Multiple regression in practice.".
- catalog isPartOf "Quantitative applications in the social sciences ; no. 07-050.".
- catalog isPartOf "Sage university papers series. Quantitative applications in the social sciences ; no. 07-050".
- catalog issued "1985".
- catalog issued "c1985.".
- catalog language "eng".
- catalog publisher "Beverly Hills : Sage Publications,".
- catalog relation "Multiple regression in practice.".
- catalog subject "519.5/36 19".
- catalog subject "QA278.2 .B47 1985".
- catalog subject "Regression analysis.".
- catalog subject "Social sciences Statistical methods.".
- catalog tableOfContents "Series editor's introduction -- Acknowledgment -- 1. The multiple regression model: a review -- 2. Specification error. Consequences of specification error -- An illustration of specification error: satisfaction with life -- Detecting and dealing with specification error -- 3. Measurement error. Consequences of measurement error -- An illustration of measurement error : satisfaction with life -- Detecting measurement error -- Dealing with measurement error -- 4. Multicollinearity. Consequences of multicollinearity -- Detecting high multicollinearity -- An illustration of multicollinearity : satisfaction with life -- Dealing with multicollinearity -- 5. Nonlinearity and nonadditivity. Detecting nonlinearity and nonadditivity -- Dealing with nonlinearity -- Dealing with nonadditivity -- Some warnings about nonlinear and nonadditive specifications -- 6. Heteroscedasticity and autocorrelation. When heteroscedasticity and autocorrelation can be expected -- Consequences of heteroscedasticity and autocorrelation -- Detecting heteroscedasticity -- An illustration of heteroscedasticity : income and housing consumption -- Dealing with heteroscedasticity and autocorrelation -- 7. Additional concerns -- Notes -- References -- About the authors.".
- catalog title "Multiple regression in practice / William D. Berry, Stanley Feldman.".
- catalog type "text".