Confidence Interval Estimation for Simulation Response Surfaces

Abstract

In this paper, the author continues the investigation of response surface methodology in simulation, begun in previous papers. Suppose that g is a linear output function of an input parameter lambda, over some range a < or = lambda < or = b, and that observations are taken at two parameter settings lambda sub 1 and lambda sub 2. It is shown that if certain conditions are satisfied, then a confidence interval may be obtained for g(lambda) at any point a < or = lambda b without making any additional observations. An illistration is provided which makes use of the regenerative approach for analyzing simulations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1974
Accession Number
ADA003901

Entities

People

  • Michael A. Crane

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • California
  • Data Science
  • Distribution Functions
  • Estimators
  • Information Science
  • Intervals
  • Military Research
  • Normal Distribution
  • Observation
  • Probability
  • Random Variables
  • Simulations
  • Statistical Analysis
  • Statistical Inference
  • Statistics
  • United States
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Analytical Mechanics
  • Computational Modeling and Simulation
  • Theoretical Analysis.