پديد آورندگان :
MAHLOOJI H. نويسنده , ESHRAGH JAHROMI A. نويسنده , ABOUEE MEHRIZI H. نويسنده , IZADY N. نويسنده
چكيده لاتين :
A known theorem in probability is adopted and through a probabilistic approach, it is generalized
to develop a method for generating random deviates from the distributi~n of any ~ontinuous
random variable. This method, which may be considered as an approximate version of the
Inverse Transform algorithm, takes two random numbers to generate a random deviate, while
maintaining all the other advantages of the Inverse Transform me:hod, such as the. possibili~y of
generating ordered as well as correlated deviates and being applicable to all density functions,
regardless of their parameter values