PROCEDURES AND STATISTICAL METHODOLOGY OF MODEL VALIDATION

Abstract

Determining the effectiveness of a computer simulation model in duplicating a desired real world phenomenon is an important unsolved problem. The purpose of this paper is to model the validation procedure in a broad context and develop a general methodology for the statistical part of validation. A procedure calling on utility, decision, simulation, and statistical theories is developed. The goals of statistical testing are presented, and the assumptions, properties, and results of several parametric and nonparametric tests are discussed and compared.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1969
Accession Number
AD0694905

Entities

People

  • James M. Arrison Iii

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Computational Science
  • Computer Simulations
  • Computers
  • Data Science
  • Databases
  • Detection
  • Information Science
  • Operations Research
  • Probability
  • Random Variables
  • Simulations
  • Statistical Tests
  • Statistics
  • Step Functions
  • Submarine Models
  • Systems Analysis
  • United States

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Systems Analysis and Design