Discussion of Professor Dawid's Paper

Abstract

Journal of the Royal Statistical Society: Series B (Methodological)Volume 41, Issue 1 p. 15-31 DiscussionFree Access Discussion of Professor Dawid's Paper First published: September 1979 https://doi.org/10.1111/j.2517-6161.1979.tb01053.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 Akhmeteli, M. A. et al. (1977). Methods for the detection of haemophilia carriers: A memorandum. Bull. W.H.O., 55, 675– 702. Anderson, T. W. (1959). Some scaling models and estimation procedures in the latent class model. In Probability and Statistics, the Harold Cramer Volume ( O. Grenander, ed.), pp. 9– 38. New York: Wiley. Basu, D. (1958). On statistics independent of sufficient statistics. Sankhyā, 20, 3– 4. Birnbaum, A. (1968). Chapters 17-20 in Statistical Theories of Mental Test Scores, by F. M. Lord and M. R. Novick. Reading, Mass.: Addison-Wesley. Bishop, Y. M. M., Fienberg, S. E. and Holland, P. W. (1975). Discrete Multivariate Analysis: Theory and Practice. Cambridge, Mass.: M.I.T. Press. Boruch, R. F. (1972). Relations among statistical methods for assuring confidentiality of social research data. Soc. Sci. Res., 1, 403– 414. Davis, W. W. and Degroot, M. H. (1978). A new look at selecting regression models. Carnegie-Mellon University, Dept. of Statistics, Technical Report No. 149. Dawid, A. P. (1979). Some misleading arguments involving conditional independence. J. R. Statist. Soc. B, 41, No. 2 (in the press). Edwards, W. (1968). Conservatism in human information processing. In Formal Representation of Human Judgement ( B. Kleinmutz, ed.). New York: Wiley. Elston, R. C. and Stewart, J. (1971). A general model for the genetic analysis of pedigree data. Human Heredity, 25, 95– 105. Goodman, L. A. (1971). The partitioning of chi-square, the analysis of marginal contingency tables and the estimation of expected frequencies in multidimensional contingency tables. J. Amer. Statist. Ass., 66, 339– 344. Haberman, S. J. (1974). The Analysis of Frequency Data. Chicago: University of Chicago Press. Hinkley, D. V. (1979). Predictive likelihood. Ann. Statist., 7 (in press). Jeffreys, H. (1961). Theory of Probability. Oxford: University Press. Kadane, J. B. and Dickey, J. M. (1979). Bayesian decision theory and the simplification of models. In Evaluation of Econometric Models ( J. Kmenta and J. B. Ramsey, eds). New York: Academic Press (to appear). Lange, K. and Elston, R. C. (1975). Extensions to pedigree analysis. Human Heredity, 25, 95– 105. Linnik, Yu. V. (1975). Problems of Analytical Statistics. Calcutta: Statistical Publishing Society. Lord, F. M. (1952). A theory of test scores. Psychometric Monograph No. 7. Lord, F. M. and Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Reading, Mass.: Addison-Wesley. McLaren, A. D. (1967). Appendix to Chown, S., Belbin, E. and Downs, S. Programmed instruction as a method of teaching paired associates to older learners. J. Gerontol., 22, 219. Mardia, K. V. (1975). Statistics of directional data (with Discussion). J. R. Statist. Soc. B, 37, 349– 393. Martin, F., Petit, J.-L. and Littaye, M. (1973). Indépendance conditionelle dans le modèle statistique Bayésien. Ann. Inst. Poincaré, IX, 19– 40. Mouchart, M. and Rolin, J.-M. (1978). A note on conditional independence with statistical applications. Mimeograph. Navon, D. (1978). The importance of being conservative: some reflections on human Bayesian behaviour. Brit. J. Math. Statist. Psychol., 31, 33– 48. Pickard, D. K. (1977). A curious binary lattice process. J. Appl. Prob., 14, 717– 731. Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. J. Amer. Statist. Ass., 60, 63– 69. Volume41, Issue1September 1979Pages 15-31 This article also appears in:Discussion Papers ReferencesRelatedInformation