Estimating confidence intervals for simulations of computer systems

Author:

Mamrak Sandra A.1,Amer Paul D.2

Affiliation:

1. Department of Computer and Information Science Ohio State University Columbus, Ohio 43210

2. Department of Computer and Information Sciences University of Delaware Newark, Delaware 19711

Abstract

In simulation studies, means, percentiles, or pro portions are often used to summarize measurements of system performance. We describe procedures for estimating confidence intervals for each of these three statistics. We conclude that proportions are generally best suited to computer simulation studies. We present empirical data that clarifies the proce dures and justifies the recommendation of proportions.

Publisher

SAGE Publications

Subject

Computer Graphics and Computer-Aided Design,Modeling and Simulation,Software

Reference15 articles.

1. Amer, P.D. Mamrak , S.A. Statistical Methods in Computer Performance Evaluation: a Binomial Approach to the Comparison Problem Proceedings Computer Science and Statistics: Eleventh Annual Symposium on the Interface Raleigh, North Carolina March 1978 pp. 314-319

2. Anderson, M.A., Jr. Sargent, R.G. A Statistical Evaluation of the Scheduler of an Experimental Interactive Computing System In W. Freiberg, editor, Statistical Computer Performance Evaluation (Academic Press, New York, 1972), pp. 73-98

3. Brown, R.S. A Case Study of a Multi-Access Scientific Benchmarking Application In N. Benwall, editor, Benchmarking ( Hemisphere Publishing Company, Washington, D.C., 1975), pp. 133-147

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