Probability Methods for Cost Uncertainty Analysis

Probability Methods for Cost Uncertainty Analysis

EnglishPaperback / softbackPrint on demand
Garvey Paul R.
Taylor & Francis Ltd
EAN: 9780367737429
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Detailed information

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to decision-makers, and the use of bivariate probability distributions to capture joint interactions between a system’s cost and schedule. Analytical techniques from probability theory are stressed, along with the Monte Carlo simulation method. Numerous examples and case discussions illustrate the practical application of theoretical concepts.

While the original chapters from the first edition remain unchanged, this second edition contains new material focusing on the application of theory to problems encountered in practice. Highlights include the use of GERM to build development and production cost estimating relationships as well as the eSBM, which was developed from a need in the community to offer simplified analytical alternatives to advanced probability-based approaches. The book also lists the major technical works of the late Dr. Stephen A. Book, a mathematician and world-renowned cost analyst whose contributions advanced the theory and practice of cost risk analysis.

EAN 9780367737429
ISBN 0367737426
Binding Paperback / softback
Publisher Taylor & Francis Ltd
Publication date December 18, 2020
Pages 528
Language English
Dimensions 234 x 156
Country United Kingdom
Authors Book Stephen A.; Covert Raymond P.; Garvey Paul R.
Edition 2 ed
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