Initialization Effects in Computer Simulation Experiments.

Abstract

Much progress has been made in dealing with the difficult and important problem of initialization bias. Indeed, simple truncation rules are being replaced by sequential procedures such as those given in Kelton (1980) and Heidelberger and Welch (1983). Various tests to detect the presence of initialization bias are also being developed. The authors feel that more attention should be given to the problem in the decision making and experimental design contexts. Simulation researchers might also study the different issues that are involved in simulation experiments with a single system (or single performance measure) vs. experiments with multiple systems (or multiple performance measures). Finally, simulation initialization errors may have different effects depending on whether the simulations are used for design, optimization, evaluation, selection, or feasibility decisions; some investigation in this area is warranted. Keywords: Applied mathematics; Queueing theory; Confidence intervals.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA161964

Entities

People

  • David Goldsman
  • Lee Schruben

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computer Simulations
  • Computers
  • Data Science
  • Engineering
  • Experimental Design
  • Industrial Engineering
  • Information Science
  • Military Research
  • New York
  • Operations Research
  • Random Variables
  • Simulations
  • Statistical Analysis
  • Steady State
  • Stochastic Processes
  • Systems Engineering

Readers

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