ISBN is

978-0-412-31110-9 / 9780412311109

An Introduction to Generalized Linear Models, First Edition (Chapman & Hall/CRC Texts in Statistical Science)

by

Publisher:Chapman and Hall/CRC

Edition:Softcover

Language:English

Prices INCLUDE standard shipping to United States
Show prices without shipping
Change shipping destination/currency
Shipping prices may be approximate. Please verify cost before checkout.

About the book:

An undergraduate-level introduction to the topic of generalized linear models
An Introduction to Generalized Linear Models-a new edition of An Introduction to Statistical Modelling-demonstrates how generalized linear models provide a unifying framework for many commonly used multivariate statistical methods, including multiple regression and analysis of variance or covariance for continuous response data, logistic regression for binary responses, and log-linear models for counted responses. The theory for these models is developed using the exponential family of distributions, maximum likelihood estimation, and likelihood ration tests. Chapters on each of the main types of generalized linear models are included. The statistical computing program GLIM , developed to fit these models to data, is used extensively. Other programs, particularly MINITAB, are used to illustrate particular issues. The student is assumed to have a working knowledge of basic statistical concepts and methods, at the level of most introductory statistics courses, and some acquaintance with calculus and matrix algebra. Methods described in this text are widely applicable for analyzing data from the fields of medicine, agriculture, biology, engineering, industrial experimentation, and the social sciences.

Search under way...

Search complete.

Click on the price to find out more about a book.

New books: 1 - 25 of 28

   

Used books: 1 - 25 of 86