An important problem which occurs in many different disciplines is that of determining a probability distribution which is a good representation of an observed data set. For example, in building aâ€¦ (More)

Simulation experiments are sampling experiments by their very nature. Statistical issues dominate all aspects of a well-designed simulation study â€“ model validation, selection of input distributionsâ€¦ (More)

In this paper we present a tutorial on using the UNIFIT software package to fit probability distributions to observed data. In the first section we provide an example which demonstrates why selectingâ€¦ (More)

We have been concerned with the problem of specifying simulation input distributions for well over a dozen years. Over this time our attitudes and understanding of this problem have changedâ€¦ (More)

This paper provides an overview of the UniFit II software package, which is used to select simulation input probability distributions. UniFit II is the successor to the original UniFit softwareâ€¦ (More)

In this paper we explain the important role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we explain how any analyst,â€¦ (More)

We wish to commend Patterson et al (March Journal)1 on their endeavour to describe a competency model for general practice. We fully support their view that it is important to be able to describe notâ€¦ (More)

An important task in developing a discrete event simulation model is determining the probability distributions of the input random variables. This is often accomplished by fitting standardâ€¦ (More)