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Alan Agresti - Foundations of Linear and Generalized Linear Models - 9781118730034 - V9781118730034
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Foundations of Linear and Generalized Linear Models

€ 132.66
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Description for Foundations of Linear and Generalized Linear Models Hardcover. 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.

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. 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 ... Read more

  • 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 Models is 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.


 

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Product Details

Publisher
John Wiley & Sons Inc
Format
Hardback
Publication date
2015
Series
Wiley Series in Probability and Statistics
Condition
New
Number of Pages
480
Place of Publication
New York, United States
ISBN
9781118730034
SKU
V9781118730034
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3

About Alan Agresti
ALAN AGRESTI, PhD, 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 Categorical Data Analysis, Third Edition, Analysis of Ordinal Categorical Data, Second ... Read more

Reviews for Foundations of Linear and Generalized Linear Models
"The book arose from a one-semester graduate level course taught by Alan Agresti at Harvard University. It has a clear didactic focus, which benefits greatly from Agresti’s well-known clear writing style. Each of the 11 chapters is followed by around 40 exercises, which are diverse and interesting." "...I am very happy with the foundational perspective of this book. ... Read more

Goodreads reviews for Foundations of Linear and Generalized Linear Models


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