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contributor authorJames E. Diekmann
date accessioned2017-05-08T21:11:51Z
date available2017-05-08T21:11:51Z
date copyrightSeptember 1983
date issued1983
identifier other%28asce%290733-9364%281983%29109%3A3%28297%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/42397
description abstractIn response to the increased risk levels found in today's projects, project participants are attempting to quantify project cost risk. Various detailed and conceptual estimating formats are reviewed and a number of probabilistic estimating methods are introduced. Particular attention is given to the process of matching a suitable probabilistic estimating technique to a specific estimating format. To select an appropriate probabilistic method, an estimator must consider data availability, existing correlations, output data requirements, the form of the, estimating model, and the number of cost elements contained in the model. Existing obstacles to more realistic probabilistic cost estimates are reviewed.
publisherAmerican Society of Civil Engineers
titleProbabilistic Estimating: Mathematics and Applications
typeJournal Paper
journal volume109
journal issue3
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)0733-9364(1983)109:3(297)
treeJournal of Construction Engineering and Management:;1983:;Volume ( 109 ):;issue: 003
contenttypeFulltext


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