{"product_id":"9781118730034","title":"Foundations of Linear and Generalized Linear Models","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eFoundations of Linear and Generalized Linear Models\u003c\/h1\u003e\u003ch3\u003eAlan Agresti\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eA valuable overview of the most important ideas and results in statistical modeling\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWritten by a highly-experienced author, \u003ci\u003eFoundations of Linear and Generalized Linear Models \u003c\/i\u003eis a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding.\u003c\/p\u003e \u003cp\u003eThe book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, \u003ci\u003eFoundations of\u003c\/i\u003e\u003ci\u003eLinear and Generalized Linear Models \u003c\/i\u003ealso features:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eAn introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods\u003c\/li\u003e \u003cli\u003eAn overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problems\u003c\/li\u003e \u003cli\u003eNumerous examples that use R software for all text data analyses\u003c\/li\u003e \u003cli\u003eMore than 400 exercises for readers to practice and extend the theory, methods, and data analysis\u003c\/li\u003e \u003cli\u003eA supplementary website with datasets for the examples and exercises\u003c\/li\u003e \u003c\/ul\u003e An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, \u003ci\u003eFoundations of Linear and Generalized Linear Models \u003c\/i\u003eis also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eALAN AGRESTI, PhD,\u003c\/b\u003e is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on generalized linear models and categorical data methods in more than 30 countries. The author of over 200 journal articles, Dr. Agresti is also the author of \u003ci\u003eCategorical Data Analysis\u003c\/i\u003e, Third Edition, \u003ci\u003eAnalysis of Ordinal Categorical Data\u003c\/i\u003e, Second Edition, and \u003ci\u003eAn Introduction to Categorical Data Analysis\u003c\/i\u003e, Second Edition, all published by Wiley.\t \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e23 February 2015\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781118730034\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e480\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e28.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310925541516,"sku":"9781118730034","price":129.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781118730034.jpg?v=1780141256","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781118730034","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}