A very useful result for generating random numbers is that the fractional part of a sum of independent U(0,1) random variables is also a U(0,1) random variable. In this paper we show that a more general result is true: The fractional part of a sum of n independent random variables, one of which is U(0,1), is also U(0,1). Moreover, we show that the fractional part of a sum of independent near-uniform variables is closer in distribution to a U(0,1) variate than each of the component near-uniform variables. These results are used to characterize the uniform distribution and to give some justification for an algorithm of Wichmann and Hill(1982). In addition, we show how the property of “closeness” carries over to the generation of any random va...
We obtain the distribution of the sum of independent Mittag-Leffler (ML) random variables which are ...
In this paper, the classical problem of the probabilistic characterization of a random variable is r...
AbstractA classic result in probability theory states that two independent real-valued random variab...
Let U and V be independent random variables with continuous density function on the interval (0, 1)....
It is shown that any uniform fractional order statistic can be represented in distribution by a rand...
A known theorem in probability is adopted and through a probabilistic approach, it is generalized to...
The authors provide some support for the combination generator from a statistical theory viewpoint. ...
AbstractWhat is the distribution of the product of given powers of independent uniform (0, 1) random...
An inductive procedure is used to obtain distributions and probability densities for the sum $S_n$ o...
The combination generator, first proposed by Wichmann and Hill (1982), is constructed by taking the ...
For n \in N, let X, Y_1, ..., Y_n be independent random variables, and suppose that X is distributed...
Abstract: In this work fractional parts of a polynomial are considered as random variables...
<p>A seminal theorem due to Weyl [14] states that if (<em>a<sub>n</sub> </em>) is any sequence of di...
In an earlier report [1] we described methods to obtain pseudorandom numbers from various statistica...
The fractional uniform order statistics of Stigler [J. Amer. Statist. Assoc. 72 (1977) 544] are show...
We obtain the distribution of the sum of independent Mittag-Leffler (ML) random variables which are ...
In this paper, the classical problem of the probabilistic characterization of a random variable is r...
AbstractA classic result in probability theory states that two independent real-valued random variab...
Let U and V be independent random variables with continuous density function on the interval (0, 1)....
It is shown that any uniform fractional order statistic can be represented in distribution by a rand...
A known theorem in probability is adopted and through a probabilistic approach, it is generalized to...
The authors provide some support for the combination generator from a statistical theory viewpoint. ...
AbstractWhat is the distribution of the product of given powers of independent uniform (0, 1) random...
An inductive procedure is used to obtain distributions and probability densities for the sum $S_n$ o...
The combination generator, first proposed by Wichmann and Hill (1982), is constructed by taking the ...
For n \in N, let X, Y_1, ..., Y_n be independent random variables, and suppose that X is distributed...
Abstract: In this work fractional parts of a polynomial are considered as random variables...
<p>A seminal theorem due to Weyl [14] states that if (<em>a<sub>n</sub> </em>) is any sequence of di...
In an earlier report [1] we described methods to obtain pseudorandom numbers from various statistica...
The fractional uniform order statistics of Stigler [J. Amer. Statist. Assoc. 72 (1977) 544] are show...
We obtain the distribution of the sum of independent Mittag-Leffler (ML) random variables which are ...
In this paper, the classical problem of the probabilistic characterization of a random variable is r...
AbstractA classic result in probability theory states that two independent real-valued random variab...