Forecasting via the Box-Jenkins method

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Abstract

In numerous marketing studies, there is a need for adequate and appropriate forecasting methods. The Box-Jenkins model-building technique for discrete, correlated data points is described for both univariate and multivariate input-output models, yielding minimum mean square error forecasts. The procedure is applicable where at least fifty observations occurring at equally spaced time intervals are available.

Original languageEnglish (US)
Pages (from-to)206-221
Number of pages16
JournalJournal of the Academy of Marketing Science
Volume6
Issue number3
DOIs
StatePublished - Jun 1978

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Economics and Econometrics
  • Marketing

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