Add to ORKGThe authors provide some support for the combination generator from a statistical theory viewpoint. The combination generator is generated from taking the fractional part of the sum of several random numbers generators. It is shown that combining several independent generators improves not only the uniformity, but also the independence over each component generator
: Up to now all known efficient portable implementations of linear congruential random number genera...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
In an earlier report [1] we described methods to obtain pseudorandom numbers from various statistica...
The combination generator, first proposed by Wichmann and Hill (1982), is constructed by taking the ...
The authors provide some theoretical justifications for the asymptotic uniformity and asymptotic ind...
ABSTRACT: In this paper we present an efficient way to combine two or more Multiplicative Linear Con...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
AbstractThe combined random number (RN) generator has been considered by many scholars as a good RN ...
A very useful result for generating random numbers is that the fractional part of a sum of independe...
AbstractA combined random number generator by Wichmann and Hill is studied in this note. Statistical...
This chapter covers the basic design principles and methods for uniform random number generators use...
Use of empirical studies based on computer-generated random numbers has become a common practice in ...
Problems for various random number generators accompanying the Wolff algorithm [U. Wolff, Phys. Rev....
Many computer simulations use random number generators and since most computer languages have a buil...
Simulations on parallel computors require distinct streams of pseudo-random deviates for each proces...
: Up to now all known efficient portable implementations of linear congruential random number genera...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
In an earlier report [1] we described methods to obtain pseudorandom numbers from various statistica...
The combination generator, first proposed by Wichmann and Hill (1982), is constructed by taking the ...
The authors provide some theoretical justifications for the asymptotic uniformity and asymptotic ind...
ABSTRACT: In this paper we present an efficient way to combine two or more Multiplicative Linear Con...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
AbstractThe combined random number (RN) generator has been considered by many scholars as a good RN ...
A very useful result for generating random numbers is that the fractional part of a sum of independe...
AbstractA combined random number generator by Wichmann and Hill is studied in this note. Statistical...
This chapter covers the basic design principles and methods for uniform random number generators use...
Use of empirical studies based on computer-generated random numbers has become a common practice in ...
Problems for various random number generators accompanying the Wolff algorithm [U. Wolff, Phys. Rev....
Many computer simulations use random number generators and since most computer languages have a buil...
Simulations on parallel computors require distinct streams of pseudo-random deviates for each proces...
: Up to now all known efficient portable implementations of linear congruential random number genera...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
In an earlier report [1] we described methods to obtain pseudorandom numbers from various statistica...