Add to ORKGA 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
In this article, I discuss the methods for generating nonnegatively correlated binary random variate...
Due to the increasing use of ordinal variables in different fields, new statistical methods for thei...
The correlation matrix (denoted by R) plays an important role in many statistical models. Unfortunat...
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...
Abstract. The paper is devoted to the problem of generating sequences of binary vectors having joint...
An algorithm for generating correlated random variables with known marginal distributions and a spec...
A procedure for generating multivariate nonnormal distributions is proposed. Our procedure gener-ate...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
The simulation of multivariate data is often necessary for assessing the performance of multivariat...
Generating correlated Poisson random variables is fundamental in many applications in the management...
The paper is devoted to the problem of generating sequences of binary vectors having joint distribu...
We consider the problem of defining a multivariate distribution of binary variables, with given firs...
A new efficient technique to impose the statistical correlation when using Monte Carlo type method f...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
In this article, I discuss the methods for generating nonnegatively correlated binary random variate...
Due to the increasing use of ordinal variables in different fields, new statistical methods for thei...
The correlation matrix (denoted by R) plays an important role in many statistical models. Unfortunat...
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...
Abstract. The paper is devoted to the problem of generating sequences of binary vectors having joint...
An algorithm for generating correlated random variables with known marginal distributions and a spec...
A procedure for generating multivariate nonnormal distributions is proposed. Our procedure gener-ate...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
The simulation of multivariate data is often necessary for assessing the performance of multivariat...
Generating correlated Poisson random variables is fundamental in many applications in the management...
The paper is devoted to the problem of generating sequences of binary vectors having joint distribu...
We consider the problem of defining a multivariate distribution of binary variables, with given firs...
A new efficient technique to impose the statistical correlation when using Monte Carlo type method f...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
In this article, I discuss the methods for generating nonnegatively correlated binary random variate...
Due to the increasing use of ordinal variables in different fields, new statistical methods for thei...
The correlation matrix (denoted by R) plays an important role in many statistical models. Unfortunat...