Picture 1 of 2

Stock photo

Time Series Prediction: Forecasting - Paperback, by Weigend Andreas S.; - Good - Picture 1 of 2

Time Series Prediction: Forecasting - Paperback, by Weigend Andreas S.; - Good - Picture 2 of 2

Time Series Prediction : Forecasting the Future and Understanding the Past by Andreas S. Weigend and Neil A. Gershenfeld (1993, Trade Paperback)

BooksRun (196471)

99.4% positive feedback

Price:

US $4.95

ApproximatelyC $6.90

+ $7.99 shipping

Estimated delivery Tue, Oct 28 - Fri, Nov 7

Returns:

30 days return. Seller pays for return shipping.

Condition:

Good

About this product

Product Identifiers

PublisherRoutledge

ISBN-100201626020

ISBN-139780201626025

eBay Product ID (ePID)81210

Product Key Features

Number of Pages672 Pages

LanguageEnglish

Publication NameTime Series Prediction : Forecasting the Future and Understanding the Past

SubjectGeneral, Probability & Statistics / Time Series

Publication Year1993

FeaturesRevised

TypeTextbook

Subject AreaMathematics, Science

AuthorAndreas S. Weigend, Neil A. Gershenfeld

FormatTrade Paperback

Dimensions

Item Height1.6 in

Item Weight32.1 Oz

Item Length9 in

Item Width6 in

Additional Product Features

Intended AudienceCollege Audience

LCCN93-023369

Table Of ContentPreface -- Section 1. Description of the Data Sets -- Section II. Time Series Prediction -- Section III. Time Series Analysis and Characterization -- Section IV. Practice and Promise -- Appendix: Accessing the Server -- Biography -- Index.

Edition DescriptionRevised edition

SynopsisThe 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., The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices., 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.