Latin Hypercube Sampling in Sensitivity Analysis

Abstract

In practice, production computer simulation models are usually run for a limited number of real input vectors. To make statistical inferences about the model, it is frequently desirable to generate additional realistic inputs for the purpose of obtaining better coverage of the input space. Latin Hypercube Sampling is presented as a method for accomplishing this task. Experimental design, Matrices(mathematics).

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1994
Accession Number
ADA285867

Entities

People

  • Joseph C. Collins Iii

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Computational Science
  • Computer Simulations
  • Computers
  • Data Science
  • Equations
  • Experimental Design
  • Information Science
  • Mathematics
  • Military Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Sampling
  • Simulations
  • Statistical Inference
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space