Exponential smoothing methods have been around since the 1950s, and are
still the most popular forecasting methods used in business and
industry. However, a modelling framework incorporating stochastic
models, likelihood calculation, prediction intervals and procedures for
model selection, was not developed until relatively recently. This book
brings together all of the important new results on the state space
framework for exponential smoothing. It will be of interest to people
wanting to apply the methods in their own area of interest as well as
for researchers wanting to take the ideas in new directions. In short,
the book gives an overview of current topics and develops new ideas that
have not appeared in the academic literature.