A method of confidence interval construction for simulation output analysis

  • Authors:
  • F. Choobineh;J. L. Ballard

  • Affiliations:
  • Department of Industrial and Management, Systems Engineering, University of Nebraska, Lincoln, NE 68588-0518, USA;Department of Industrial and Management, Systems Engineering, University of Nebraska, Lincoln, NE 68588-0518, USA

  • Venue:
  • Operations Research Letters
  • Year:
  • 1989

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Abstract

A partial variance procedure for constructing confidence intervals (c.i.) for the mean of a process is proposed. The use of partial variance allows constructing an asymmetrical c.i. that accounts for the skewness of the population. The results of a Monte Carlo experiment comparing the proposed method with other methods indicate that the proposed method provides more desirable confidence intervals. That is, the proposed method provides a confidence interval with a higher probability of coverage or the same probability of coverage but with a shorter width.