Probability methods for cost uncertatinty analysis : a systems engineering perspective
Author(s)
Bibliographic Information
Probability methods for cost uncertatinty analysis : a systems engineering perspective
Marcel Dekker, c2000
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Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
A careful blend of theory and practice, this book presents a comprehensive approach to assessing the impact of unplanned events on the cost of engineering complex systems. It illustrates how probability theory is applied to model, measure, and manage risk in the cost of a systems engineering project. The book contains numerous mathematical and professional anecdotes, case studies, results, observations, and interpretations that clarify the challenges in cost risk analysis. It includes references, equations, and illustrations, provides theoretical and applied exercises, and uses examples and case discussions derived from systems engineering projects to describe key concepts.
Table of Contents
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
Epilogue: Considerations and Recommended Practices
Appendix A: Statistical Tables and Related Integrals
Appendix B: The Bivariate Normal-LogNormal Distribution
Appendix C: The Bivariate LogNormal Distribution
by "Nielsen BookData"