This paper proposes an improved gamma random generator. In the past, a lot of gamma random number generators have been proposed, and depending on a shape parameter (say, alpha) they are roughly classified into two cases: (i) alpha lies on the interval (0,1) and (ii) alpha is greater than 1, where alpha=1 can be included in either case. In addition, Cheng and Feast (1980) extended the gamma random number generator in the case where alpha is greater than 1/n, where n denotes an arbitrary positive number. Taking n as a decreasing function of alpha, in this paper we propose a simple gamma random number generator with shape parameter alpha greater than zero. The proposed algorithm is very simple and shows quite good performance.Gamma Random Vari...
In order to carry out the simulation, we need a source of random numbers distributed according to th...
This article introduces a new probability distribution capable of modeling positive data that presen...
We offer a procedure for generating a gamma variate as the cube of a suitably scaled normal variate....
Developing efficient gamma variate generators is important for Monte Carlo methods. With a brief rev...
Developing efficient gamma variate generators is important for Monte Carlo methods. With a brief rev...
The Gamma distribution is well-known and widely used in many signal processing and communica-tions a...
The Monty Python Method for generating random variables takes a decreasing density, cuts it into thr...
The cutting corners algorithm can be used to generate random numbers from any unimodal density which...
AbstractThis paper describes an exact method for computer generation of random variables with a gamm...
The Monty Python Method for generating random variables takes a decreasing density, cuts it into thr...
The Monty Python Method for generating random variables takes a decreasing density, cuts it into thr...
Subroutines are written to generate random numbers on the computer. Depending on the subroutine used...
Subroutines are written to generate random numbers on the computer. Depending on the subroutine used...
A convenient method to generate normal random variable using a generalized exponential distribution ...
In order to carry out the simulation, we need a source of random numbers distributed according to th...
In order to carry out the simulation, we need a source of random numbers distributed according to th...
This article introduces a new probability distribution capable of modeling positive data that presen...
We offer a procedure for generating a gamma variate as the cube of a suitably scaled normal variate....
Developing efficient gamma variate generators is important for Monte Carlo methods. With a brief rev...
Developing efficient gamma variate generators is important for Monte Carlo methods. With a brief rev...
The Gamma distribution is well-known and widely used in many signal processing and communica-tions a...
The Monty Python Method for generating random variables takes a decreasing density, cuts it into thr...
The cutting corners algorithm can be used to generate random numbers from any unimodal density which...
AbstractThis paper describes an exact method for computer generation of random variables with a gamm...
The Monty Python Method for generating random variables takes a decreasing density, cuts it into thr...
The Monty Python Method for generating random variables takes a decreasing density, cuts it into thr...
Subroutines are written to generate random numbers on the computer. Depending on the subroutine used...
Subroutines are written to generate random numbers on the computer. Depending on the subroutine used...
A convenient method to generate normal random variable using a generalized exponential distribution ...
In order to carry out the simulation, we need a source of random numbers distributed according to th...
In order to carry out the simulation, we need a source of random numbers distributed according to th...
This article introduces a new probability distribution capable of modeling positive data that presen...
We offer a procedure for generating a gamma variate as the cube of a suitably scaled normal variate....