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Titlebook: Advances in GLIM and Statistical Modelling; Proceedings of the G Ludwig Fahrmeir,Brian Francis,Gerhard Tutz Conference proceedings 1992 Spr

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楼主: Agitated
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S. De Flora,C. Bennicelli,M. Bagnascoon function of the error term is not known. Regularity conditions and technical proofs are found in their paper. Their results are briefly reviewed and related to quasi ML estimation of generalized linear models (GLM’s) (McCullagh and Nelder 1989). Then residuals and influential points are discussed.
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https://doi.org/10.1007/978-1-4684-8938-5oblems. This paper deals with a Gibbs sampling approach for obtaining posterior mean smoothers in the exponential family framework. Implementation and performance are investigated by Monte Carlo experiments, and a real data application is given for illustration.
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Recent Results in Cancer Researcher updates that work and gives practical examples of particular models which can be fitted in GLIM4. Some models could be fitted in GLIM3.77, but with difficulty; others are new facilities available with the new release of the package.
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S. De Flora,C. Bennicelli,M. Bagnascoon function of the error term is not known. Regularity conditions and technical proofs are found in their paper. Their results are briefly reviewed and related to quasi ML estimation of generalized linear models (GLM’s) (McCullagh and Nelder 1989). Then residuals and influential points are discussed
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