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Probability Methods for Cost Uncertainty Analysis

A Systems Engineering Perspective, Second Edition

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  • 528 pages
  • 19 hours of reading

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Focusing on analytical methods, this book explores modeling and measuring uncertainty in engineering system costs. It addresses the correlation between system element costs and presents analysis techniques for decision-makers. The use of bivariate probability distributions captures interactions between cost and schedule. Emphasizing probability theory and Monte Carlo simulation, the text is enriched with numerous examples and case discussions that demonstrate the practical application of these theoretical concepts.

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Probability Methods for Cost Uncertainty Analysis, Paul R Garvey, Stephen A Book, Raymond P Covert

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Released
2015
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(Hardcover)
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