Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed,
practically oriented & innovative presentation of the combination of Bayesian methodology …

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 …

Praise for the Second Edition:"… this is a useful, comprehensive compendium of almost
every possible sample size formula. The strong organization and carefully defined formulae …

This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and
Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson …

Modelling based on finite mixture distributions is a rapidly developing area with the range of
applications exploding. Finite mixture models are nowadays applied in such diverse areas …

In many biometrical applications, the count data encountered often contain extra zeros
relative to the Poisson distribution. Zero‐inflated Poisson regression models are useful for …

Categorical data arise often in many fields, including biometrics, economics, management,
manufacturing, marketing, psychology, and sociology. This book provides an introduction to …

Recent developments in the area of mixture models are introduced, reviewed and
discussed. The paper introduces this special issue on mixture models, which touches upon …

Control charts based on the Poisson distribution are commonly used to monitor count data in
attributes. However, the Poisson distribution is based on the underlying equidispersion …

We prove that the generalized Poisson distribution GP (θ, η)(η≥ 0) is a mixture of Poisson
distributions; this is a new property for a distribution which is the topic of the book by Consul …