Login

Join for Free!
119239 members

Generalized Linear Models (Biostatistics (New York, N.Y.), 5.)

Generalized Linear Models (Biostatistics (New York, N.Y.), 5.)  

   

AUTHORS: 

  • Dipak K. Dey
  • Sujit K. Ghosh
  • Bani K. Mallick

PRODUCT DETAILS:

  • Hardcover: 440 pages
  • Publisher: CRC; 1 edition (May 25, 2000)
  • Language: English
  • ISBN: 0824790340
  • Product Dimensions: 10.2 x 7.0 x 1.0 inches
  • Shipping Weight: 1.83 pounds
EDITORIAL REVIEWS

Book Description 

This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs. 

Book Info

Describes how to perform, conceptualize, and critique traditional generalized linear models from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. DLC: Linear models (Statistics).  


Rating: not rated | Added on: 20 Oct 2006

Rate this book:







excellent!bad…