An overview of short-term statistical forecasting methods

Russell J. Elias, Douglas Montgomery, Murat Kulahci

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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

ASJC Scopus subject areas

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

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