An Introduction to Generalized Linear Mo
โ Annette J. Dobson (auth.)
๐ Library
๐
1990
๐ Springer US
๐ English
โฆ LIBER โฆ
๐
An Introduction to Generalized Linear Models
โ Scribed by Annette J. Dobson; Adrian G Barnett
- Publisher
- CRC Press
- Year
- 2018
- Tongue
- English
- Leaves
- 393
- Series
- Chapman & Hall Statistics Texts
- Edition
- 4th
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
An Introduction to Generalized Linear Models, Fourth Editionprovides 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 (GLMs) 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 (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods.
Introduces GLMs in a way that enables readers to understand the unifying structure that underpins them
Discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis
Connects Bayesian analysis and MCMC methods to fit GLMs
Contains numerous examples from business, medicine, engineering, and the social sciences
Provides the example code for R, Stata, and WinBUGS 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.
๐ SIMILAR VOLUMES
An Introduction to Generalized Linear Mo
โ Annette J. Dobson, Adrian G. Barnett
๐ Library
๐
2018
๐ CRC
๐ English
An introduction to generalized linear mo
โ Dobson A.J., Barnett A.G.
๐ Library
๐
2018
๐ CRC Press
๐ English
An Introduction to Generalized Linear Mo
โ Annette J. Dobson, Adrian Barnett
๐ Library
๐
2008
๐ Chapman and Hall/CRC
๐ English
Continuing to emphasize numerical and graphical methods, <b>An Introduction to Generalized Linear Models, Third Edition</b> provides a cohesive framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayes
An Introduction to Generalized Linear Mo
โ Annette J. Dobson
๐ Library
๐
2001
๐ English
Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software fo
An Introduction to Generalized Linear Mo
โ Annette J. Dobson, Annette .J. Dobson
๐ Library
๐
2001
๐ Chapman & Hall
๐ English
Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software fo