Title
An Introduction to Generalized Linear Models, Third Edition (Chapman & Hall/CRC Texts in Statistical Science),Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- 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.