A Hybrid Graphical-Simulation Analysis of a Health Systems Application

Article Abstract:

Computer simulation is often used to optimize practical network queuing models. In many situations the number of possible alternatives that could be simulated is large, and individual runs may be expensive. A simple approximation technique can be used to reduce the number of options actually simulated by providing a pictorial representation of the service process in a network of queues under simplifying assumptions. A simulation experiment can then be performed for detailed analysis of the selected subset of alternatives. This hybrid graphical-simulation approach was used in the design of a United States Air Force health improvement program.

Diseases, Heart, Circulatory system, Health, Applications, Optimization, Analysis, Network Models, United States, Simulation Theory, Queuing Networks, Graphs, Air Force, Cardiovascular System

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Improving the reliability of confidence limits for the mean of positive random variables

Article Abstract:

This paper present a simple method to obtain a strictly positive lower confidence limit for the mean of a positive random variable. Although this method involves some approximations, it is shown empirically that it works well for a large number of cases. (Reprinted by permission of the publisher.)

Limitations, Random Number Generation, technical

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