Input modeling with the Johnson system of distributions

Authors:
David J. DeBrota;Stephen D. Roberts;James J. Swain;Robert S. Dittus;James R. Wilson;Sekhar Venkatraman
Affiliations:
Regenstrief Institute for Health Care, Indiana University, School of Medicine, 1001 West 10th Street, Indianapolis, IN;School of Industrial Engineering, Purdue University, West Lafayette, IN;School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA;Regenstrief Institute for Health Care, Indiana University, School of Medicine, 1001 West 10th Street, Indianapolis, IN;School of Industrial Engineering, Purdue University, West Lafayette, IN;Department of Industrial Engineering, Wichita State University, Wichita, KS
Venue:
WSC '88 Proceedings of the 20th conference on Winter simulation
Year:
1988

Citing 1
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Abstract

This paper provides an introduction to the Johnson translation system of probability distributions, and it describes methods for using the Johnson system to model input processes in simulation experiments. The fitting methods based on available data are incorporated into the public-domain software package FITTR1. To handle situations in which little or no data is available, we present a visual interactive method for subjective distribution fitting that has been implemented in the public-domain software package VISIFIT. We present several examples illustrating the use of FITTRI and VISIFIT for simulation input modeling.