AN INTRODUCTION TO LINEAR MODELING OF STATIONARY AND NON-STATIONARY TIME SERIES.

Abstract

Recent work by G. E. P. Box, of the University of Wisconsin, and G. M. Jenkins, of the University of Lancaster has led to simple models for stationary and non-stationary time series. The approach used is essentially that proposed by Zadeh and Ragazzini in 1950 and 1952, but Box and Jenkins have looked at the problem from the point of view of the statistician. Thus, while Zadeh and Ragazzini were concerned with analytic reduction of random processes to white noise, Box and Jenkins are concerned with empirical reduction of time series to uncorrelated residuals. Another important aspect of Box and Jenkins' work is that of developing useful models for seasonal time series. This paper presents an introduction to parametric modeling of time series, using the Box-Jenkins approach. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1967
Accession Number
AD0667472

Entities

People

  • Donald G. Watts

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Noise
  • Residuals
  • Stationary
  • Universities
  • White Noise
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Theoretical Analysis.