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1. Quasi-Least Squares Regression

   By Justine Shults, Joseph M. Hilbe

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, this book presents a comprehensive treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating...

   To Be Published December 14th 2013 by Chapman and Hall/CRC
2. Methods of Statistical Model Estimation

   By Joseph Hilbe, Andrew Robinson

   Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for...

   To Be Published June 5th 2013 by Chapman and Hall/CRC
3. Generalized Estimating Equations, Second Edition

   By James W. Hardin, Joseph M. Hilbe

   Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models....

   Published December 9th 2012 by Chapman and Hall/CRC
4. Generalized Linear Models and Extensions, Third Edition

   By James W. Hardin, Joseph M. Hilbe

   This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models...

   Published June 3rd 2012 by Stata Press
5. Generalized Estimating Equations

   By James W. Hardin, Joseph M. Hilbe

   Although powerful and flexible, the method of generalized linear models (GLM) is limited in its ability to accurately deal with longitudinal and clustered data. Developed specifically to accommodate these data types, the method of Generalized Estimating Equations (GEE) extends the GLM algorithm to...

   Published May 6th 2012 by Chapman and Hall/CRC
6. Logistic Regression Models

   By Joseph M. Hilbe

   Series: Chapman & Hall/CRC Texts in Statistical Science

   Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The...

   Published May 10th 2009 by Chapman and Hall/CRC