# Monte Carlo Simulation: Still Stuck in Low Gear

## Related Articles

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This paper characterizes the conventional moment-based Schmeiser-Deutsch (S-D) class of distributions through the method of L-moments. The system can be used in a variety of settings such as simulation or modeling various processes. A procedure is also described for simulating S-D distributions...

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In a fork-join network each incoming job is split into tasks and the tasks are K K simultaneously assigned to parallel service stations for processing. For the distributions K of response times and queue lengths of fork-join networks, no explicit formulae are available. Existing methods provide...

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A general class of probability distributions is proposed and its properties examined. The proposed family contains distributions of a wide variety of shapes, such as U shaped, uniform and long-tailed distributions, as well as distributions with supports that have finite limits at one or both...

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Let X be a random vector with distribution Î¼ on â„ and Î¦ be a mapping from â„ to â„. That mapping acts as a black box, e.g., the result from some computer experiments for which no analytical expression is available. This paper presents an efficient algorithm to estimate a...

- Approximate MLEs for the location and scale parameters of the skew logistic distribution. Asgharzadeh, A.; Esmaily, L.; Nadarajah, S. // Statistical Papers;May2013, Vol. 54 Issue 2, p391
Azzalini (Scand J Stat 12:171-178, ) provided a methodology to introduce skewness in a normal distribution. Using the same method of Azzalini (), the skew logistic distribution can be easily obtained by introducing skewness to the logistic distribution. For the skew logistic distribution, the...

- Estimation of R = P [Y < X] for two-parameter Burr Type XII Distribution. Panahi, H.; Asadi, S. // World Academy of Science, Engineering & Technology;Mar2011, Issue 51, p509
No abstract available.

- Mass-transport models with multiple-chipping processes. Shrivastav, G. P.; Banerjee, V.; Puri, S. // European Physical Journal B -- Condensed Matter;Nov2010, Vol. 78 Issue 2, p217
We study mass-transport models with multiple-chipping processes. The rates of these processes are dependent on the chip size and mass of the fragmenting site. In this context, we consider k-chip moves (where k = 1, 2, 3, ...); and combinations of 1-chip, 2-chip and 3-chip moves. The...

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Data below the quantification limit (BQL data) are a common challenge in data analyses using nonlinear mixed effect models (NLMEM). In the estimation step, these data can be adequately handled by several reliable methods. However, they are usually omitted or imputed at an arbitrary value in most...

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A random network model which allows for tunable, quite general forms of clustering, degree correlation and degree distribution is defined. The model is an extension of the configuration model, in which stubs (half-edges) are paired to form a network. Clustering is obtained by forming small...