JMASM22: A Convenient Way Of Generating Normal Random Variables Using Generalized Exponential Distribution

JMASM22: A Convenient Way Of Generating Normal Random Variables Using Generalized Exponential Distribution

A convenient way of generating gamma random variables using generalized exponential distribution

In this paper we propose a very convenient way to generate gamma random variables using generalized exponential distribution, when the shape parameter lies between 0 and 1. The new method is compared with the most popular Ahrens & Dieter method and the method proposed by Best. Like Ahrens & Dieter and Best methods our method also uses the acceptance-rejection principle. But it is observed that ...

generating a random sample from gamma distribution using generalized exponential distribution.

in this paper, we discuss generating a random sample from gamma distribution using generalized exponential distribution.

A Flexible Skew-Generalized Normal Distribution

 In this paper, we consider a flexible skew-generalized normal distribution. This distribution is denoted by $FSGN(/lambda _1, /lambda _2 /theta)$. It contains the normal, skew-normal (Azzalini, 1985), skew generalized normal (Arellano-Valle et al., 2004) and skew flexible-normal (Gomez et al., 2011) distributions as special cases. Some important properties of this distribution are establi...

Optimal Choice of Random Variables in D-ITG Traffic Generating Tool using Evolutionary Algorithms

Impressive development of computer networks has been required precise evaluation of efficiency of these networks for users and especially internet service providers. Considering the extent of these networks, there has been numerous factors affecting their performance and thoroughly investigation of these networks needs evaluation of the effective parameters by using suitable tools. There are se...