Add to ORKGPractical methods for generating acceptable random numbers from a variety of probability distributions which are frequently encountered in engineering applications are described. The speed, accuracy, and guarantee of statistical randomness of the various methods are discussed
An increasing number of practitioners and applied statisticians have started using the R programming...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Methods for generating pseudorandom numbers from nonuniform statistical distribution
Simulations and experiments frequently demand the generation of random numbera that have specific di...
A technique is presented for developing a pseudo-random number generator based on the linear congrue...
Methods are presented for the generation of random numbers with uniform and normal distributions. Su...
by Lee Kim-hung.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaf 60
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
Uniformly distributed pseudo-random number generators are commonly used in certain numerical algorit...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
Uniformly distributed pseudo-random number generators are commonly used in certain numerical algorit...
An increasing number of practitioners and applied researchers started using the R programming system...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
AbstractThe paper contains a translation of the Russian note [1] together with several remarks on mo...
An increasing number of practitioners and applied statisticians have started using the R programming...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Methods for generating pseudorandom numbers from nonuniform statistical distribution
Simulations and experiments frequently demand the generation of random numbera that have specific di...
A technique is presented for developing a pseudo-random number generator based on the linear congrue...
Methods are presented for the generation of random numbers with uniform and normal distributions. Su...
by Lee Kim-hung.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaf 60
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
Uniformly distributed pseudo-random number generators are commonly used in certain numerical algorit...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
Uniformly distributed pseudo-random number generators are commonly used in certain numerical algorit...
An increasing number of practitioners and applied researchers started using the R programming system...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
AbstractThe paper contains a translation of the Russian note [1] together with several remarks on mo...
An increasing number of practitioners and applied statisticians have started using the R programming...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...