By Ludwig Fahrmeir, Brian Francis, Robert Gilchrist, Gerhard Tutz
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This easy-to-follow textbook introduces the mathematical language, wisdom and problem-solving talents that undergraduates have to research computing. The language is partially qualitative, with options comparable to set, relation, functionality and recursion/induction; however it is additionally partially quantitative, with rules of counting and finite likelihood.
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Extra info for Advances in GLIM and Statistical Modelling: Proceedings of the GLIM92 Conference and the 7th International Workshop on Statistical Modelling, Munich, 13–17 July 1992
Carroll, R. , Lan, K. , Bailey, K. T. & Abbott, R. D. (1984). On errors-in-variables for binary regression models. Biometrika, 71, 19-26. Carroll, R. J. & Stefanski, L. A. (1990) Approximate quasilikelihood estimation in models with surrogate predictors. Journal of the American Statistical Association, 85, 652663. Carroll, R. J. & Stefanski, L. A. (1992). Meta-analysis, measurement error and corrections for attenuation. Statistics in Medicine, to appear. Carroll, R. J. & Wand, M. P. (1991). Semiparametric estimation in logistic measurement error models.
E. e. 005). Thus, the inclusion of age and gender main effects reduces scaled deviance very significantly, and both main effects themselves are highly significant. Before interpreting these results, it is prudent to check fonnally the assumption of constant age and gender main effects over both partitions of the response. e. e. 005). The assumption underlying the continuation ratio model is not particularly satisfactory in this case and therefore we retain the interaction terms in the final model.
Yk(i) - ~ (3'Z)) kij kij SkO(Yk(i) - (3'Zkij) . 37 Another approach in the semiparametric context of transformation models is obtained if one assumes that the transformation of the sojourn-times is known, but the distribution of the error term is unknown. This model was investigated for the univariate case by Ritov (1990) and Tsiatis (1990). Their approach can also be generalized to analyse the multivariate case of independent multi-episode models and is now investigated. 3. Semiparametric Estimation of Dependent Multi-Episode Duration Data So far the analysis of multi-episode models was based on the assumption of independence of the sojourn-times.
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