This article surveys Bayesian methods for categorical data analysis, with primary emphasis
on contingency table analysis. Early innovations were proposed by Good (1953, 1956 …

A valuable overview of the most important ideas and results in statistical modeling Written by
a highly-experienced author, Foundations of Linear and Generalized Linear Models is a …

History Markov chain Monte Carlo (MCMC) methods, in which plausible values for unknown
quantities are simulated from their appropriate probability distribution, have revolutionised …

Recent developments in ecological statistics have reached behavioral ecology, and an
increasing number of studies now apply analytical tools that incorporate alternatives to the …

A new edition of the definitive guide to logistic regression modeling for health science and
other applications This thoroughly expanded Third Edition provides an easily accessible …

Statistical science's first coordinated manual of methods for analyzing ordered categorical
data, now fully revised and updated, continues to present applications and case studies in …

Bayesian Statistics: Page 1 Bayesian Statistics: An Introduction PETER M. LEE Formerly Provost
of Wentworth College, University of York, England Fourth Edition John Wiley & Sons, Ltd Page …

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian
Modeling Using WinBUGS provides an easily accessible introduction to the use of …

The prominence of finite mixture modelling is greater than ever. Many important statistical
topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity …

It is increasingly common for analysts to seek out the opinions of individuals and
organizations using attitudinal scales such as degree of satisfaction or importance attached …