Research Article
Dec 1981

Forecasting Engineering Costs: Two Case Studies

Publication: Journal of the Construction Division
Volume 107, Issue 4

Abstract

In recent years the subject of statistical forecasting has been brought to a sharp focus as a major area of engineering management decision-making process by the growth of substantive literature and by the onset of sophisticated computers. The choice of the most suitable forecasting technique for a particular engineering application is by no means a simple decision. This study presents two statistical methods that fully make use of the available historical data — the Box-Jenkins stochastic method and the Holt-Winters smoothing method. The forecasts made by both the methods agree very well with the actual observations.

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Journal of the Construction Division
Volume 107Issue 4December 1981
Pages: 733 - 743

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Published in print: Dec 1981
Published online: Feb 11, 2021

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Sivajogi D. Koppula, AM.ASCE
Sr. Geotechnical Engr., Hardy Assoc. (1978) Ltd., Edmonton, Alberta, Canada, formerly Chf. Soil Mechanics Engr., Design and Construction Div., Alberta Environment, Edmonton, Alberta, Canada

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