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Probability Methods for Cost Uncertainty Analysis
ISBN-13:
9781482219760
Veröffentl:
2016
Seiten:
524
Autor:
Paul R. Garvey
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
This book presents analytical methods 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.
THEORY AND FOUNDATIONS: Uncertainty and the Role of Probability in Cost Analysis. Concepts of Probability Theory. Distributions and the Theory of Expectation. Special Distributions for Cost Uncertainty Analysis. Functions of Random Variables and Their Application to Cost Uncertainty Analysis. System Cost Uncertainty Analysis. Modeling Cost and Schedule Uncertainties: An Application of Joint Probability Theory. PRACTICAL CONSIDERATIONS AND APPLICATIONS: Elements of Cost Uncertainty Analysis: A Review. Correlation: A Critical Consideration. Building Statistical Cost Estimating Models. Mathematics of Cost Improvement Curves. Enhanced Scenario Based Method. Cost Uncertainty Analysis Practice Points. Collected Works of Dr. Stephen A. Book. Appendices. Index.
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