Logistic Regression Diagnostics

作者: Daryl Pregibon

DOI: 10.1214/AOS/1176345513

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摘要: A maximum likelihood fit of a logistic regression model (and other similar models) is extremely sensitive to outlying responses and extreme points in the design space. We develop …

参考文章(11)
Daryl Pregibon, Goodness of Link Tests for Generalized Linear Models Journal of The Royal Statistical Society Series C-applied Statistics. ,vol. 29, pp. 15- 24 ,(1980) , 10.2307/2346405
Roy E. Welsch, Roy E. Welsch, Edwin Kuh, Linear Regression Diagnostics Social Science Research Network. ,(1977)
David C. Hoaglin, Roy E. Welsch, The Hat Matrix in Regression and ANOVA The American Statistician. ,vol. 32, pp. 17- 22 ,(1978) , 10.1080/00031305.1978.10479237
R. Dennis Cook, Detection of influential observation in linear regression Technometrics. ,vol. 42, pp. 65- 68 ,(2000) , 10.2307/1271434
R. Dennis Cook, Influential Observations in Linear Regression Journal of the American Statistical Association. ,vol. 74, pp. 169- 174 ,(1979) , 10.1080/01621459.1979.10481634
JOHN M. CHAMBERS, Fitting nonlinear models: numerical techniques Biometrika. ,vol. 60, pp. 1- 13 ,(1973) , 10.1093/BIOMET/60.3.669
Frederick Mosteller, John W. Tukey, R. L. Holder, Data analysis and regression ,(1977)
J. A. Nelder, R. W. M. Wedderburn, Generalized Linear Models Journal of the Royal Statistical Society: Series A (General). ,vol. 135, pp. 370- 384 ,(1972) , 10.2307/2344614