State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed in

State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed in

In this book we are concerned with Bayesian learning and forecast ing in dynamic environments. We describe the structure and theory of classes of dynamic models

An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the dynamic relationship

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Be