Fox, John  <br/><br/>
Regression Diagnostic  Series: Qualitative applications in the social sciences / 
John Fox 
 - New Delhi,  A sage University Paper,  1991. 
 - 92 p. :  ill. ;  21 cm. 
 - QUANTITATIVE APPLICATIONS IN THE SOCIAL SCIENCES .
<br/><br/> Table of Contents<br/><br/>I. Introduction <br/>2. Linear least-squares regression <br/>     The regression model <br/>     Least-squares estimation <br/>     Statistical inference for regression coefficients <br/>     The general linear model<br/><br/>3. Collinearity <br/>    Collinearity and variation inflation Coping with Collinearity: No quick fix<br/><br/>4.  Outfying and Influential data<br/>     Measuring leverage: hat-values <br/>     Detecting outliers: studentized residuals <br/>     Measuring influence: Cook's distance and other diagnostics <br/>     Numerical cutoffs for diagnostics statistics subsets of observation: partial-regression<br/>     Should unusual data be discarded<br/><br/>5. Non-distributed errors <br/>    Normal quintile-comparison plot of residuals <br/>    Histograms of residuals<br/>    Correcting asymmetry by transformation <br/><br/>6. Nonconstant error variation <br/>     Detecting Nonconstant error variance <br/>Correcting Nonconstant error variance <br/><br/>7. Nonlinearity <br/>Residual and partial-residual plots <br/>Transformations for linearity <br/><br/>8 Discrete data <br/>Testing for nonlinearity <br/>Testing for nonconstant error variance<br/><br/>9. Maximum-likelihood methods, score tests, and constructed variables<br/>Box-cox transformation of y<br/>Box-Tidwell transformation of the xs <br/>Nonconstant error variance revised <br/><br/>10. Recommendations <br/>Computing diagnostics <br/>Further reading <br/><br/><br/><br/><br/> 
<br/><br/><label>ISBN: </label>080393971x 
<br/><br/><label>Subjects--Topical Terms: </label>
<br/><br/><label>Dewey Class. No.: </label>519.536   / FOX