MODELS FOR FORECASTING SEASONAL AND NON-SEASONAL TIME SERIES.

Abstract

The optimal forecasts of future values of a time series are determined by the nature of the stochastic model which describes that series. The main effort then in statistical analysis directed to forecasting must be in obtaining a suitable stochastic model for the series. The following paper outlines the approach which has been taken in a forthcoming book. Box, G. E. P. and Jenkins, G. M., Statistical Models for Forecasting and Control, Holden-Day, San Francisco.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1967
Accession Number
AD0656685

Entities

People

  • D. W. Bacon
  • George E. P. Box
  • Gwilym M. Jenkins

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Collaborative Techniques
  • Computing-Related Activities
  • Data Science
  • Delphi Method
  • Information Science
  • Interdisciplinary Science
  • Management Engineering
  • Statistical Analysis

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Technical Research and Report Writing.