Time Series Prediction: Forcasting the Future and Understanding the Past

Andreas S. Weigend and Neil A. Gershenfeld

ISBN 10: 0201626020 / ISBN 13: 9780201626025

Edité par Perseus Group Westview Press: Advanced Book Program, Boulder, CO, 1994

A propos de cet article

Very Near Fine in Wraps: a tiny scuff at the lower front edge of the backstrip; else flawless; the binding is square and secure; the text is clean. Free of creases to the panels. Free of creases to the backstrip. Free of creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. Free of ownership names, dates, addresses, notations, inscriptions, stamps, or labels. A handsome, nearly-new copy, structurally sound and tightly bound, showing a minor unobtrusive imperfection. Very close to 'As New', and could easily pass for such. NOT a Remainder, Book-Club, or Ex-Library. 8vo (8.85 x 6 x 1.35 inches) . Language: English. Weight: 32 ounces. A Procedings Volume in the Santa Fe Institute Studies of the Sciences of Complexity. Paperback. ; 8vo 8" - 9" tall; xvii, 643 pages.

N° de réf. du vendeur 58294

Détails bibliographiques

• Titre: Time Series Prediction: Forcasting the Future and Understanding the Past
• Éditeur: Perseus Group Westview Press: Advanced Book Program, Boulder, CO
• Date de parution: 1994
• Langue: anglais
• ISBN à 10 chiffres: 0201626020
• ISBN à 13 chiffres: 9780201626025
• Reliure: Paperback
• Édition: 1st Edition; Tenth Printing.
• État de l'article: Near Fine
• État de la jaquette: No Dust Jacket

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.