Forecasting with Exponential Smoothing : The State Space Approach

Rob Hyndman

ISBN 10: 3540719164 / ISBN 13: 9783540719168

Edité par Springer Berlin Heidelberg, 2008

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Exponential smoothing methods have been around since the 1950s, and are still the most popular forecasting methods used in business and industry. However, a modeling framework incorporating stochastic models, likelihood calculation, prediction intervals and procedures for model selection, was not developed until 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. Part 1 provides an introduction to exponential smoothing and the underlying models. The essential details are given in Part 2, which also provide links to the most important papers in the literature. More advanced topics are covered in Part 3, including the mathematical properties of the models and extensions of the models for specific problems. Applications to particular domains are discussed in Part 4. N° de réf. du vendeur 9783540719168

Détails bibliographiques

Titre : Forecasting with Exponential Smoothing : The...

Éditeur : Springer Berlin Heidelberg

Date d'édition : 2008

Reliure : Taschenbuch

Etat : Neu

A propos de ce titre

Synopsis :

This book brings together all of the important new results on the state space framework for exponential smoothing. It gives an overview of current topics and develops new ideas that have not appeared in the academic literature.