Title
An Introduction to Generalized Linear Models, Third Edition (Chapman & Hall/CRC Texts in Statistical Science),Used
Delivery time: 8-12 business days (International)
Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition 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 Bayesian analysis.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, loglinear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods.Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons. It includes examples and exercises with complete data sets for nearly all the models covered.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the focus of 'An Introduction to Generalized Linear Models, Third Edition'? A: This book emphasizes numerical and graphical methods for statistical modeling, providing a cohesive framework around generalized linear models (GLMs).
- Q: How is this edition different from the previous ones? A: The third edition has been updated with Stata, R, and WinBUGS code, and includes three new chapters focused on Bayesian analysis.
- Q: What statistical topics are covered in this book? A: It covers a range of topics including normal, Poisson, and binomial distributions, linear regression, ANOVA, logistic regression, survival analysis, and Bayesian models.
- Q: Is there software code provided in the book? A: Yes, the book includes code examples for popular statistical software programs like Stata, R, and WinBUGS.
- Q: What is the condition of the book? A: The book is listed as being in 'Good' condition.
- Q: Who is the author of this book? A: The author of 'An Introduction to Generalized Linear Models, Third Edition' is Annette J. Dobson.
- Q: What is the page count of the book? A: The book contains a total of 320 pages.
- Q: When was this edition published? A: This edition was published on May 12, 2008.
- Q: What type of binding does the book have? A: The book is available in paperback binding.
- Q: Is this book suitable for beginners in statistics? A: Yes, the text is designed to be concise and accessible, making it suitable for beginners as well as more advanced users.