An introduction to discrete-valued time series / by Christian Weiss.

Includes bibliographical references and index.

A first approach for modeling time series of counts : the thinning-based INAR (1) model -- Further thinning-based models for count time series -- INGARCH models for count time series -- Further models for count time series -- Analyzing categorical time series -- Models for categorical time series -- Control charts for count processes -- Control charts for categorical processes.

An Introduction to Discrete-Valued Time Series provides a much needed introduction to the field of discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modelling, and throughout numerous examples illustrate the various models used in discrete-valued time series applications. Statistical Process Control (SPC) is also featured and provides coverage on the types of control charts such as cumulative sum control charts (CUSUM) and performance evaluation. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basic essentials of these approaches summarized in the Appendix. Data examples are also featured whilst all necessary R code is housed on a companion website. --Amazon.co.uk