COST UNCERTAINTY ANALYSIS

Abstract

An important aspect of cost research is the measurement of the uncertainty inherent in the projection of system cost. Only recently have approaches utilizing such tools as statistical decision theory and probability theory been formulated. The study described here explores and evaluates three such techniques: (a) The derivation of moments technique employs equations for deriving the moments and distributions for cost elements and aggregations. (b) The Monte Carlo technique is a simulation routine. (c) The symmetric approximation is a special case of the derivation of moments technique.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1968
Accession Number
AD0686770

Entities

People

  • Frank J. Husic

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Computer Programs
  • Computers
  • Corporations
  • Cost Analysis
  • Cost Estimates
  • Cost Models
  • Costs
  • Economics
  • Fixed Wing Aircraft
  • Probability
  • Probability Distributions
  • Procedures (Computers)
  • Random Number Generators
  • Simulations
  • Statistical Decision Theory

Readers

  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis
  • Statistical inference.