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Probability Methods for Cost Uncertainty Analysis : A Systems Engineering Perspective [Hardcover]

Paul R. Garvey (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0824789660 978-0824789664 December 1999 1
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.

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Product Details

  • Hardcover: 424 pages
  • Publisher: CRC Press; 1 edition (December 1999)
  • Language: English
  • ISBN-10: 0824789660
  • ISBN-13: 978-0824789664
  • Product Dimensions: 9.1 x 6 x 1.1 inches
  • Shipping Weight: 1.5 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,148,617 in Books (See Top 100 in Books)

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4 of 4 people found the following review helpful:
5.0 out of 5 stars A Must Book for Engineers and Engineering Managers!, July 8, 2000
By A Customer
This review is from: Probability Methods for Cost Uncertainty Analysis : A Systems Engineering Perspective (Hardcover)
This is a must book for engineers, scientists, and engineering managers. Garvey's book presents how probability theory is applied to model, measure, and manage risk in the cost of a systems engineering project. The work is a first of its kind in the engineering, cost engineering/analysis, and operations research communities.

The book provides readers a clear discussion on the nature of uncertainty, how it affects the cost of a systems engineering project, and how probability methods are used to model, measure, and control risk from a systems engineering perspective. Readers benefit from the numerous mathematical and professional anecdotes, case discussions, results, observations, and interpretations found throughout the chapters.

The book contains 110 applied and theoretical exercises. It is an outstanding text for students in engineering and the related fields.

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1 of 1 people found the following review helpful:
5.0 out of 5 stars Best technical book written yet, on this subject, December 12, 2003
By A Customer
This review is from: Probability Methods for Cost Uncertainty Analysis : A Systems Engineering Perspective (Hardcover)
Well written and very thorough in its treatment of how probability methods are used to quantify cost risk; excellent textbook for students (lots of exercises), as well as for professional cost analysts.
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Inside This Book (learn more)
First Sentence:
This book presents methods for quantifying the cost impacts of uncertainty in the engineering of systems. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cost uncertainty analysis, cost conditioned, cost element costs, trapezoidal distribution, delivered source instructions, chip defective, systems engineering projects, schedule uncertainties, underlying distribution function, selected chip, reserve dollars, lognormal random variable, cost reserve, second chip, uncertainty analyses, beta density, mission product, modeling cost, normal probability density function, subjective probability distributions, cost analysts
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, New York, John Wiley, Cost Sys, New Jersey, Santa Monica, The Journal of Cost Analysis, Englewood Cliffs, Military Operations Research, Therefore Var, Advanced System Cost Estimates, Computerized Technique, Cost Considerations, Dealing With Uncertainty, Express Uncertainty, Mathematical Definition Suppose, Proof Let, Risk Evaluation Methodology, Staff Figure, System Cost Uncertainty Analysis, Transformation Formulas Useful
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