Forecasting Using Leading Indicators.

Abstract

It is frequently the case that forecasts of a discrete stochastic process (Y sub t) can be much improved by using information coming from some related process (X sub t) particularly if changes in Y tend to be anticipated by changes in X, in which case X is said to be a leading indicator for Y. The report shows information from leading indicators may be appropriately incorporated in computing forecasts. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1972
Accession Number
AD0751965

Entities

People

  • George E. P. Box
  • Paul Newbold

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Collaborative Techniques
  • Delphi Method
  • Indicators
  • Management Engineering
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Atmospheric Science/Meteorology
  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design