Generalized Linear Models by McCullagh, Peter pdf – Generalized Linear Models by McCullagh, Peter li
Generalized Linear Models by McCullagh, Peter pdf – Generalized Linear Models by McCullagh, Peter li
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Generalized Linear Models by McCullagh, Peter pdf
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Generalized Linear Models by McCullagh, Peter is a seminal work in the field of statistical modeling. This book provides a comprehensive overview of the theory and applications of generalized linear models, which are a flexible class of models that extend the traditional linear regression framework to handle a wide range of response variables, including binary, count, and categorical data. McCullagh's book covers the theoretical underpinnings of generalized linear models, including the exponential family of distributions and the link function that relates the mean of the response variable to the linear predictor. The book also discusses estimation methods, model selection, and interpretation of results, making it a valuable resource for statisticians, researchers, and practitioners working in a variety of fields. Overall, Generalized Linear Models by McCullagh, Peter is a classic text that has had a significant impact on the field of statistics and continues to be widely cited and used in research and practice.