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Probability Methods for Cost Uncertainty Analysis, 2nd Edition
book

Probability Methods for Cost Uncertainty Analysis, 2nd Edition

by Paul R. Garvey, Stephen A. Book, Raymond P. Covert
January 2016
Intermediate to advanced content levelIntermediate to advanced
524 pages
17h 3m
English
Chapman and Hall/CRC
Content preview from Probability Methods for Cost Uncertainty Analysis, 2nd Edition
367 Building Statistical Cost Estimating Models
The coefcients for all cost drivers should also be analyzed. If the result-
ing relationship between cost and a cost driver is different than would be
expected from engineering judgment, then this model is most likely not one
that should be used to predict future cost. Correlations between cost drivers
should also be calculated. Often two or more cost drivers could provide very
similar relationships with cost. Including correlated drivers together in a cost
model could yield inconsistent results in a regression model. In statistics,
this is known as multicollinearity—and
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Publisher Resources

ISBN: 9781482219760