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- Andrew G. Glen, Lawrence Leemis, John H. Drew
- Computational Statistics & Data Analysis
- 2004

We present an algorithm for computing the probability density function of the product of two independent random variables, along with an an implementation of the algorithm in a computer algebraâ€¦ (More)

- Andrew G. Glen, Lawrence Leemis, Donald R. Barr
- IEEE Trans. Reliability
- 2001

- Diane L. Evans, Lawrence Leemis, John H. Drew
- INFORMS Journal on Computing
- 2006

A algorithm for computing the PDF of order statistics drawn from discrete parent populations is presented, along with an implementation of the algorithm in a computer algebra system. Several examplesâ€¦ (More)

- Lawrence Leemis
- Proceedings of the 2004 Winter Simulationâ€¦
- 2004

Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the true underlyingâ€¦ (More)

- Diane L. Evans, Lawrence Leemis
- Winter Simulation Conference
- 2000

Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit severalâ€¦ (More)

- Marian GrendÃ¡r, George Judge, +4 authors Steven J. Miller
- 2007

A mathematical expression known as Benfordâ€™s law provides an example of an unexpected relationship among randomly selected sequences of first significant digits (FSD). Newcomb (1881), and laterâ€¦ (More)

- Lawrence Leemis
- Winter Simulation Conference
- 1994

Discrete-event simulation models typically have stochastic elements that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a close match between theâ€¦ (More)

- Lawrence Leemis
- Winter Simulation Conference
- 2001

Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the true underlyingâ€¦ (More)

- David M. Nicol, Lawrence Leemis
- Proceedings of the Winter Simulation Conferenceâ€¦
- 2014

We consider the problem of using either grouped observations of a counting process over a period or prescribed constant mean counts to create an intensity function for a Non-Homogeneous Poissonâ€¦ (More)

- Lawrence Leemis, Bruce W. Schmeiser
- IEEE Transactions on Reliability
- 1985

We discuss methods for generating observations from specified distributions, based on a taxonomy that emphasizes analogies between methods based on the probability-density and cumulative-distributionâ€¦ (More)