000			02686cam a2200313 4500
001			7706888
003			OSt
005			20140702100006.0
008			910612s1991 caua b 000 0 eng
010			_a91-24057
020			_a080393971X
035			_a(NNNPsI)492
035			_a(NNC)7706888
040			_aDLC _cDLC _dDLC
050			_aQA278.2 _b.F63 1991
082	0	0	_a519.5/36 _220
100	1		_aFox, John, _d1947-
245	1	0	_aRegression diagnostics / _cJohn Fox.
260			_aNewbury Park, Calif. : _bSage Publications, _c1991
300			_a92 p. : _bill. ; _c22 cm.
490	1		_aA Sage university papers series. Quantitative applications in the social sciences ; _vno. 07-079
504			_aIncludes bibliographical references (p. 89-92).
505	0		_aLinear Least-Squares Regression -- The Regression Model -- Least-Squares Estimation -- Statistical Inference for Regression Coefficients -- The General Linear Model -- Collinearity -- Collinearity and Variance Inflation -- Coping with Collinearity: No Quick Fix -- Outlying and Influential Data -- Measuring Leverage: Hat-Values -- Detecting Outliers: Studentized Residuals -- Measuring Influence: Cook's Distance and Other Diagnostics -- Numerical Cutoffs for Diagnostic Statistics -- Jointly Influential Subsets of Observations: Partial-Regression Plots -- Should Unusual Data Be Discarded? -- Non-Normally Distributed Errors -- Normal Quantile-Comparison Plot of Residuals -- Histograms of Residuals -- Correcting Asymmetry by Transformation -- Nonconstant Error Variance -- Detecting Nonconstant Error Variance -- Correcting Nonconstant Error Variance -- Nonlinearity -- Residual and Partial-Residual Plots -- Transformations for Linearity -- Discrete Data -- Testing for Nonlinearity -- Testing for Nonconstant Error Variance -- Maximum-Likelihood Methods, Score Tests, and Constructed Variables -- Box-Cox Transformation of y -- Box-Tidwell Transformation of the xs -- Nonconstant Error Variance Revisited -- Recommendations -- Computing Diagnostics -- Least-Squares Fit, Joint Confidence Regions, and Tests -- Ridge Regression -- Hat-Values and the Hat Matrix -- The Distribution of the Least-Squares Residuals -- Deletion Diagnostics -- The Partial-Regression Plot -- Smoothing Scatterplots by Lowess -- Weighted-Least-Squares Estimation -- Correcting Least-Squares Standard Errors for Heteroscedasticity -- The Efficiency and Validity of Least-Squares Estimation When Error Variances Are Not Constant.
650		0	_aRegression analysis.
650		0	_aSocial sciences _xStatistical methods.
830		0	_aQuantitative applications in the social sciences ; _vno. 07-079.
942			_2lcc _cBK
999			_c162113 _d162073