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This is a preview. Log in through your library . Abstract For the parameters of a multinomial logistic regression, it is shown how to obtain the bias-reducing penalized maximum likelihood estimator by ...
In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...
Journal of the Royal Statistical Society. Series C (Applied Statistics) Log linear models for contingency tables of counts are formulated as a special case of generalized linear models with an ...
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