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COST UNCERTAINTY ANALYSIS

Authors: Frank J. Husic;

COST UNCERTAINTY ANALYSIS

Abstract

Abstract : An important aspect of cost research is the measurement of the uncertainty inherent in the projection of system cost. Only recently have approaches utilizing such tools as statistical decision theory and probability theory been formulated. The study described here explores and evaluates three such techniques: (a) The derivation of moments technique employs equations for deriving the moments and distributions for cost elements and aggregations. (b) The Monte Carlo technique is a simulation routine. (c) The symmetric approximation is a special case of the derivation of moments technique.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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