Correlated Data Analysis: Modeling, Analytics, and Applications
Publication year: 2007
ISBN: 978-0-387-71393-9
Internet Resource: Please Login to download book
Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to handle a broader range of data types than those analyzed by traditional generalized linear models.
Subject: Mathematics and Statistics, Generalized linear model, Likelihood, Regression analysis, Sage, Time series, copula, data analysis, dispersion model, estimating function, longitudinal data, state space model
