Foundations linear generalized models von agresti (11 Ergebnisse)

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9781118730034. …

Zustand: New. pp. 472.

Zustand: New. In English.

Zustand: New. A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearst.

Zustand: New. A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. Series: Wiley Series in Probability and Statistics. Num Pages: 472 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 165 x 242 x 30. Weight in Grams: 796. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 1st edition. 472 pages. 9.75x6.50x1.25 inches. In Stock.

Buch. Zustand: Neu. Neuware - A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author,Foundations of Linear and Generalized Linear Modelsis 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. The 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,Foundations ofLinear and Generalized Linear Modelsalso features: - An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods - An 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 - Numerous examples that use R software for all text data analyses - More than 400 exercises for readers to practice and extend the theory, methods, and data analysis - A supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses,Foundations of Linear and Generalized Linear Modelsis 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. …