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

Weigend, Andreas S.

ISBN 10: 0201626020 / ISBN 13: 9780201626025

Edité par Routledge, 1993

A propos de cet article

This book is in Good condition. There may be some notes and highligting but otherwise the book is in overall good condition.

N° de réf. du vendeur BCV.0201626020.G

Détails bibliographiques

• Titre: Time Series Prediction: Forecasting The Future And Understanding The Past (Santa Fe Institute Series)
• Éditeur: Routledge
• Date de parution: 1993
• Langue: anglais
• ISBN à 10 chiffres: 0201626020
• ISBN à 13 chiffres: 9780201626025
• Reliure: Couverture souple
• État de l'article: good

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Neil Gershenfeld is the Director of MIT's Center for Bits and Atoms, and the former director of its famed Media Lab. The author of numerous technical publications, patents, and books, including When Things Start to Think, he has been featured in media such as the New York Times, The Economist, CNN, and PBS. He lives in Somerville, Massachusetts.