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Titlebook: Statistical Modelling; Proceedings of the 1 Gilg U. H. Seeber,Brian J. Francis,Gabriele Stecke Conference proceedings 1995 Springer Science

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Mixed Markov Renewal Models of Social Processes,ng work and life history data because of its focus on categorical outcomes, its flexibility in representing both state dependence and duration effects, and its random effects specification. The random effects specification is particularly important given the mounting evidence that failure to allow f
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Pearson statistics, goodness of fit, and overdispersion in generalised linear models,sed on the chi square distribution may not be valid. McCullagh (.) recommended conditioning on the parameter estimates and obtained approximations to the first three conditional moments of Pearson’s statistic for generalised linear models with canonical link functions. This paper presents a generali
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Radon and Lung Cancer Mortality: An Example of a Bayesian Ecological Analysis,isk factors and taking into account the particular spatial structure of the data. We make use of a Bayesian model pioneered by Clayton and Kaldor (.) and by Besag et al. (.): The Poisson model for observed mortality rates is extended to include two sources of extra-Poisson variation; a spatially ‘un
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