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Titlebook: Statistical Modelling; Proceedings of GLIM Adriano Decarli,Brian J. Francis,Gilg U. H. Seeber Conference proceedings 1989 Springer-Verlag

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https://doi.org/10.1007/978-1-4612-3680-1Fitting; Generalized linear model; Likelihood; algorithms; best fit; linear regression
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Generalised Linear Models and Some Extensions: Geometry and AlgorithmsThe class of generalised linear models that are considered as standard excludes regression models needed for many important practical problems. Some extensions that have been proposed are discussed, together with implications for the GLIM system.
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Bootstrap Goodness-of-Link Testing in Generalized Linear ModelsBootstrap methodology is used to compare the fit of generalized linear models with different link functions to binary response data. The difference in deviance between two non-nested models is used as a test statistic. For illustrative purposes current status age at menarche data are reanalysed.
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Statistical Modelling978-1-4612-3680-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
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The GLIMPSE System the statistical knowledge encoded within the system, the guidance available to a user and a facility for suggesting answers to a user who requires guidance are discussed. The system is suitable for users with different levels of expertise including those who wish to act independently of the system’s advice.
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