[PDF.80vq] Foundations of Linear and Generalized Linear Models (Wiley Series in Probability and Statistics)

Foundations of Linear and Generalized Linear Models (Wiley Series in Probability and Statistics)

[PDF.iq24] Foundations of Linear and Generalized Linear Models (Wiley Series in Probability and Statistics)

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 | #852699 in Books |  2015-02-23 | Original language:English | PDF # 1 |  9.30 x1.10 x6.40l,.0 | File type: PDF | 472 pages

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||7 of 7 people found the following review helpful.| Very well written with plenty of examples and R code ...|By Napo|Very well written with plenty of examples and R code. It contains some theoretical background (providing proofs and derivations) as well as applications. However, since it covers a wide spectrum (it provides both frequentist and Bayesian perspectives) it doesn't duel deeply in some subjects. At the end of each cha| ||"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

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 exam...

You can specify the type of files you want, for your device.Foundations of Linear and Generalized Linear Models (Wiley Series in Probability and Statistics)   |  Alan Agresti. A good, fresh read, highly recommended.

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