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• W4238778940 abstract "Journal of the Royal Statistical Society: Series B (Methodological)Volume 34, Issue 1 p. 18-41 DiscussionFree Access Discussion on the Paper by Professor Lindley and Dr Smith First published: September 1972 https://doi.org/10.1111/j.2517-6161.1972.tb00886.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 Aydelotte, W. O. (1966). Quantification in history. Amer. Hist. Rev., 71, 814– 833. Box, G. E. P. and Tiao, G. C. (1968). Bayesian estimation of means for the random effects model. J. Amer. Statist. Ass., 63, 174– 181. Copas, J. B. (1969). Compound decisions and empirical Bayes. (With Discussion). J. R. Statist Soc. B, 31, 397– 425. Dempster, A. P. (1971). Model searching and estimations in the logic of inference. In Foundations of Statistical Inference ( V. P. Godambe and D. A. Sprott, eds) pp. 56– 77. Toronto: Holt, Rinehart and Winston. Dickey, J. M. (1968). Three multidimensional-integral identities with Bayesian applications. Ann. Math. Statist., 39, 1615– 1627. Edwards, A. W. F. (1969). Statistical methods in scientific inference. Nature, Lond. 222, 1233– 1237. Efron, B. and Morris, C. (1972). Empirical Bayes on vector observations. Biometrika, 59 (in press). Ericson, W. A. (1969). Subjective Bayesian models in sampling finite populations (with Discussion). J. R. Statist. Soc., B, 31, 195– 233. Fienberg, S. F. (1967). Cell estimates for one-way and two-way analysis of variance tables. Memorandum NS-69, Department of Statistics, Harvard University. Fienberg, S. F. (1971). Discussion of a paper by H. O. Hartley and R. R. Hocking on incomplete data analysis. Biometrics, 27, 813– 817. Godambe, V. P. (1966). A new approach to sampling from finite populations. I. Sufficiency and linear estimation. J. R. Statist. Soc., B, 28, 310– 319. Henderson, C. R., Kempthorne, O., Searle, S. R. and von Krosigk, C. M. (1959). The estimation of environmental and genetic trends from records subject to culling. Biometrics, 15, 192– 218. Hill, B. M. (1969). Foundations for the theory of least squares. J. R. Statist. Soc. B, 31, 89– 97. Jackson, P. H., Novick, M. R. and Thayer, Dorothy T. (1971). Estimating regressions in m-groups. Brit. J. Math. Statist. Psychol., 24, 129– 153. Kelley, T. L. (1927). The interpretation of Educational Measurements. New York: World Books. Kempthorne, O. (1957). An Introduction to Genetic Statistics. New York: Wiley. Reprinted in 1968 by the Iowa State University Press. Lush, J. L. (1937). Animal Breeding Plans. Ames, Iowa: Iowa State University Press. Marquardt, D. W. (1970). Generalized inverses, ridge regression, biased linear estimation and nonlinear estimation. Technometrics, 12, 591– 612. Mosteller, F. and Wallace, D. L. (1964). Inference and Disputed Authorship: the Federalist Papers, Chapter 4. Reading, Mass.: Addison-Wesley. Novick, M. R. and Jackson, P. H. (1970). Bayesian guidance technology. Rev. Educ. Res., 40, 459– 494. Novick, M. R., Jackson, P. H. and Thayer, Dorothy T. (1971). Bayesian inference and the classical test theory model: reliability and true scores. Psychometrika, 36, 207– 328. Novick, M. R., Jackson, P. H., Thayer, Dorothy T. and Cole, Nancy S. (1972). Estimating multiple regressions in m-groups; a cross-validation study. Brit. J. Math. Statist. Psychol., 25, (in press). Plackett, R. L. (1950). Some theorems in least squares. Biometrika, 37, 149– 157. Robertson, A. (1955). Prediction equations in quantitative genetics. Biometrics, 11, 95– 98. Smith, C. A. B. (1970). Discussion of a paper by A. W. F. Edwards. J. R. Statist. Soc., B, 32, 165– 166. Stein, C. (1966). An approach to the recovery of inter-block information in balanced incomplete block designs. In Festschrift for J. Neyman: Research Papers in Statistics ( F. N. David, ed.), pp. 351– 366. New York: Wiley. Tiao, G. C. and Zellner, A. (1964). Bayes's theorem and the use of prior knowledge in regression analysis. Biometrika, 51, 219– 230. Volume34, Issue1September 1972Pages 18-41 This article also appears in:Discussion Papers ReferencesRelatedInformation" @default.
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