Discussion of the Paper by Copas

Abstract

Journal of the Royal Statistical Society: Series B (Methodological)Volume 50, Issue 2 p. 254-265 DiscussionFree Access Discussion of the Paper by Copas First published: 1988 https://doi.org/10.1111/j.2517-6161.1988.tb01724.xAboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat REFERENCES IN THE DISCUSSION Box, G. E. P. and Tiao, G. C. (1968) A Bayesian approach to some outlier problems. Biometrika, 55, 119– 129. Chhikara, R. S. and McKeon, J. (1984) Linear discriminant analysis with misallocation in training samples. J. Amer. Statist. Ass., 79, 899– 906. Cook, D. (1986) Assessment of local influence. J. R. Statist. Soc. B, 48, 133– 169. Daniels, H. E. (1958) Discussion on Cox. J. R. Statist. Soc. 20, 236– 238. Dawid, A. P. (1976) Properties of diagnostic data distributions. Biometrics, 32, 647– 658. Ekholm, A., Green, M. and Palmgren, J. (1986) Fitting exponential family nonlinear models in GLIM 3.77. GLIM Newslett., 13, 4– 13. Ekholm, A. and Palmgren, J. (1987) Correction for misclassification using doubly sampled data. J. Off. Statist., 3, 419– 429. Fisher, R. A. and Yates, F. (1962) Statistical Tables in Agricultural, Biological and Medical Research, 6th edn. London: Longman. Fowlkes, E. B. (1987) Some diagnostics for binary logistic regression via smoothing. Biometrika, 74, 503– 516. Kay, R. and Little, S. (1987) Transformations of the explanatory variables in the logistic regression model for binary data. Biometrika, 74, 495– 502. Landwehr, J. M., Pregibon, D. and Shoemaker, A. C. (1984) Graphical methods for assessing logistic regression models. J. Amer. Statist. Ass., 79, 61– 83. Lemeshow, S. and Hosmer, D. W. (1982) A review of goodness of fit statistics for use in the development of logistic regression models. Amer. J. Epidemiol., 115, 92– 106. Lenth, R. V. and Green, P. J. (1987) Consistency of deviance-based M estimators. J. R. Statist. Soc. B, 49, 326– 330. Lindsey, J. K. (1975) Likelihood analysis and tests for binary data. Appl. Statist., 24, 1– 16 Mandel, J. and Stiehler, R. D. (1954) Sensitivity — a criterion for the comparison of methods of test. J. Res. Natl Bur. Stand., 53, 155– 159. McCullagh, P. and Nelder, J. A. (1983) Generalized Linear Models, ch.10. London: Chapman and Hall. Nelder, J. A. (1985) Quasi-likelihood and GLIM. Proc. GLIM 85 (eds R. Gilchrist, B. Francis and J. Whittaker), pp. 120– 127. Heidelberg: Springer. Nelder, J. A. and Pregibon, D. (1987) An extended quasi-likelihood function. Biometrika, 74, 221– 232. O'Hagan, A. (1979) On outlier rejection phenomena in Bayes inference. J. R. Statist. Soc. B, 41, 358– 367. Palmgren, J. (1987) Precision of double sampling estimators for comparing two probabilities. Biometrika, 74, 687– 694. Palmgren, J. and Ekholm, A. (1987) Exponential family nonlinear models for categorical data with errors of observation. Appl. Stochast. Model Data Anal., 3, 111– 124. Pregibon, D. (1979) PhD Thesis, p. 134. University of Toronto. Pregibon, D. (1980) Goodness of link tests for generalized linear models. Appl. Statist., 29, 15– 24. Pregibon, D. (1981) Logistic regression diagnostics. Ann. Statist., 9, 705– 724. Pregibon, D. (1984) Review of “Generalized linear models” by McCullagh and Nelder. Ann. Statist., 12, 1589– 1596. Pregibon, D. (1985) Link tests. In Encyclopedia of Statistical Sciences (eds S. Kotz and N. L. Johnson), vol. 5, 82– 85. Scallan, A., Gilchrist, R. and Green, M. (1984) Fitting parametric link functions in generalized linear models. Comput. Statist. Data Anal., 1, 37– 19. Simpson, D. G., Carroll, R. J. and Ruppert, D. (1987) M-estimation for discrete data: Asymptotic distribution theory and implications. Ann. Statist., 15, 657– 669. Smith, A. F. M. and Pettit, L. I. (1983) Outliers and influential observations in linear models. In Bayesian Statistics 2 (eds J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith), pp. 473– 490. Amsterdam: North-Holland. Tenenbein, A. (1970) A double sampling scheme for estimating from binomial data with misclassification. J. Amer. Statist. Ass., 65, 1350– 1361. West, M. (1985) Generalized linear models: scale parameters, outlier accommodation and prior distributions. In Bayesian Statistics 2 (eds J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith), pp. 531– 558. Williams, B. A. (1987) Generalized linear model diagnostics using the deviance and single case deletions. Appl. Statist., 36, 181– 191. Volume50, Issue21988Pages 254-265 This article also appears in:Discussion Papers ReferencesRelatedInformation