A modification of the Kaiser and Dichman (1962) procedure of generating multivariate random numbers with specified intercorrelation is proposed. The procedure works with positive and non-positive definite population correlation matrix. A SAS module is also provided to run the procedure
Simulation experiments with the help of random numbers are increasing in various Defence application...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
by Lee Kim-hung.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaf 60
A modification of the Kaiser and Dichman (1962) procedure of generating multivariate random numbers ...
In simulation we often have to generate correlated random variables by giving a reference intercorre...
An increasing number of practitioners and applied statisticians have started using the R programming...
An increasing number of practitioners and applied researchers started using the R programming system...
The simulation of multivariate data is often necessary for assessing the performance of multivariat...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
AbstractWe propose guidelines for future development of random-variate generators that are capable o...
A procedure for generating multivariate nonnormal distributions is proposed. Our procedure gener-ate...
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as ...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
The pseudomarginal algorithm is a Metropolis–Hastings‐type scheme which samples asymptotically from ...
Random number generators (RNGs) are widely used in conducting Monte Carlo simulation studies, which ...
Simulation experiments with the help of random numbers are increasing in various Defence application...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
by Lee Kim-hung.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaf 60
A modification of the Kaiser and Dichman (1962) procedure of generating multivariate random numbers ...
In simulation we often have to generate correlated random variables by giving a reference intercorre...
An increasing number of practitioners and applied statisticians have started using the R programming...
An increasing number of practitioners and applied researchers started using the R programming system...
The simulation of multivariate data is often necessary for assessing the performance of multivariat...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
AbstractWe propose guidelines for future development of random-variate generators that are capable o...
A procedure for generating multivariate nonnormal distributions is proposed. Our procedure gener-ate...
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as ...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
The pseudomarginal algorithm is a Metropolis–Hastings‐type scheme which samples asymptotically from ...
Random number generators (RNGs) are widely used in conducting Monte Carlo simulation studies, which ...
Simulation experiments with the help of random numbers are increasing in various Defence application...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
by Lee Kim-hung.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaf 60
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