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, ...
Sankhyā: The Indian Journal of Statistics, Series B (2008-), Vol. 82, No. 1 (May 2020), pp. 34-69 (36 pages) Existing methods for estimating the parameters of the Growth Curve Model (GCM) rely on the ...
In this article, we propose a generalized Gaussian process concurrent regression model for functional data, where the functional response variable has a binomial. Poisson, or other non-Gaussian ...
Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
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