Determining the Number of Iterations for Monte Carlo Simulations of Weapon Effectiveness

Abstract

Many weapon effectiveness tools are implemented using a Monte Carlo simulation approach since closed form solutions are too mathematically intractable to compute. A question that usually arises in connection with such simulations is this: how many iterations of a particular Monte Carlo simulation are needed? This report proposed the probability-based approach to computing effectiveness measures for better feedback to the user regarding the relationship between the number of iterations executed and confidence measures associated with the result. (4 tables, 4 figures)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA423541

Entities

People

  • Morris R. Driels
  • Young-sik Shin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Coefficients
  • Confidence Limits
  • Data Science
  • Engineering
  • Information Science
  • Iterations
  • Mechanical Engineering
  • Monte Carlo Method
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Random Variables
  • Simulations
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Samples
  • Statistics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Database Systems and Applications