?Introduction -- A Random Regret Minimization-based discrete choice model -- Empirical application of Random Regret Minimization-models -- Applicability of Random Regret Minimization-models -- Selection of recent developments in RRM-modeling

The fields of probability and statistics are built over the abstract concepts of probability space and random variable. This has given rise to elegant and powerful mathematical theory, but exact implementation of these concepts on conventional computers seems impossible. In practice, random...

In simulation we often have to generate correlated random variables by giving a reference intercorrelation matrix, R or Q. The matrix R is positive definite and a valid correlation matrix. The matrix Q may appear to be a correlation matrix but it may be invalid (negative definite). With R(m,m)...

There are distribution functions, mean value and variance of the uniform and the triangular distributions derived in this paper. The article deals with the procedure how to get the random values above mentioned distributions from pseudo-random numbers by the inverse transformation method. The...