Date

1966

Document Type

Thesis

Degree

Master of Science

Department

Industrial Engineering

First Adviser

Carroll, John M.

Abstract

Five forcasting models, first, second, and third order exponential smoothing, moving average, and linear regression, are applied to eighty-one time series and the resultant minumum forecast erro for each of the five methods on each other the time series is computed.

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