An overview of short-term statistical forecasting methods

Russell J. Elias, Douglas Montgomery, Murat Kulahci

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

An overview of statistical forecasting methodology is given, focusing on techniques appropriate to short- and medium-term forecasts. Topics include basic definitions and terminology, smoothing methods, ARIMA models, regression methods, dynamic regression models, and transfer functions. Techniques for evaluating and monitoring forecast performance are also summarized.

Original languageEnglish (US)
Pages (from-to)17-36
Number of pages20
JournalInternational Journal of Management Science and Engineering Management
Volume1
Issue number1
DOIs
StatePublished - 2006

Fingerprint

Terminology
Transfer functions
Monitoring
Forecasting method
Regression model
Regression method
Forecast performance
Smoothing
Methodology
Transfer function
ARIMA models

ASJC Scopus subject areas

  • Strategy and Management
  • Information Systems and Management
  • Management Science and Operations Research
  • Mechanical Engineering
  • Engineering (miscellaneous)

Cite this

An overview of short-term statistical forecasting methods. / Elias, Russell J.; Montgomery, Douglas; Kulahci, Murat.

In: International Journal of Management Science and Engineering Management, Vol. 1, No. 1, 2006, p. 17-36.

Research output: Contribution to journalArticle

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