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## Generalized Linear Models, Second Edition

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$94.75 Print Add to cart What are VitalSource eBooks? Your access code will be emailed upon purchase. eBook not available for this title  Authors: P. McCullagh and J. A. Nelder Publisher: Chapman & Hall/CRC Copyright: 1989 ISBN-13: 978-0-412-31760-6 Pages: 511; hardcover Price:$94.75
 Authors: P. McCullagh and J. A. Nelder Publisher: Chapman & Hall/CRC Copyright: 1989 ISBN-13: Pages: 511; eBook Price: \$

### Comment from the Stata technical group

This book covers the methodology of generalized linear models, which has evolved dramatically over the last 20 years as a way to generalize the methods of classical linear regression to more complex situations, including analysis-of-variance models, logit and probit models, log-linear models, models with multinomial responses for counts, and models for survival data. Although the original least-squares estimation for linear regression is based on Gaussian errors, the most important properties of least-squares estimates depend only on the assumed mean-to-variance relationship and on the statistical independence of the observations. This fact is exploited in developing the more general algorithm of iteratively reweighted least-squares to handle the more complex models.

Considered by many to be the most thorough treatment on the topic, this text is organized to be accessible to the practicing research scientist with only the most basic knowledge of statistical theory.