Binding: Paperback
Description: An Introduction to Generalized Linear Models Fourth Edition provides a cohesive framework for statistical modelling with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non - linear associations strategies for model selection and a Postface on good statistical practice. Like its predecessor this edition presents the theoretical background of generalized linear models (GL Ms) before focusing on methods for analyzing particular kinds of data. It covers Normal Poisson and Binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation the authors explore multiple linear regression analysis of variance (ANOV a) logistic regression log - linear models survival analysis multilevel modeling Bayesian models and Markov chain Monte Carlo (MCMC) methods. Introduces GL Ms in a way that enables readers to understand the unifying structure that underpins them Discusses common concepts and principles of advanced GL Ms including nominal and ordinal regression survival analysis non - linear associations and longitudinal analysis Connects Bayesian analysis and MCMC methods to fit GL Ms Contains numerous examples from business medicine engineering and the social sciences Provides the example code for R Stata and Win BUGS to encourage implementation of the methods Offers the data sets and solutions to the exercises online Describes the components of good statistical practice to improve scientific validity and reproducibility of results. Using popular statistical software programs this concise and accessible text illustrates practical approaches to estimation model fitting and model comparisons.
Title: An Introduction To Generalized Linear Models
Author(s): Barnett Adrian G. (Queensland University Of Technology Kelvin Grove Australia)
Publisher: Taylor & Francis Ltd
Barcode: 9781138741515
Pages: 392 Pages, 114 Tables, Black And White; 73 Line Drawings, Black And White; 73 Illustrations, Black A
Publication Date: 4/13/2018
Series: Chapman & Hall/CRC Texts in Statistical Science
Category: Probability & Statistics