Time Series Prediction: Forecasting The Future And Understanding The Past (Santa Fe Institute Series)

Weigend, Andreas S., Gershenfeld, Neil A.

ISBN 10: 0201626020 / ISBN 13: 9780201626025

Edité par Routledge, 1993

A propos de cet article

Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00084812770

Détails bibliographiques

Titre : Time Series Prediction: Forecasting The ...

Éditeur : Routledge

Date d'édition : 1993

Reliure : Couverture souple

Etat : Good

A propos de ce titre

Synopsis :

Time Series Prediction The book is a summary of a time series forecasting competition that was held a number of years ago. The competition used four different kinds of time series (for example, one data set was chaotic from measurements of a laser, and another was a multidimensional physiological times series of heart beats and respiration, etc.). The strength of the book lies in that it represents several ways to appr Full description

Présentation de l'éditeur:

The book is a summary of a time series forecasting competition that was held a number of years ago. The competition used four different kinds of time series (for example, one data set was chaotic from measurements of a laser, and another was a multidimensional physiological times series of heart beats and respiration, etc.).
The strength of the book lies in that it represents several ways to approach real time series prediction strategies in a concrete way - Invaluable, especially to researchers who may be just beginning.