on the precision of probabalistic process generators in gpss
The precision of several &ldqqo;standard probabalistic process generators, as provided to the GPSS user in various textbooks and language manuals, are investigated in this paper. In particular, the unique requirements in GPSS for integral increments in its simulation clock, as well as its background integer and truncation features, are seen to have an inherent impact on methodologies for the generation of probabalistic processes. Thus, GPSS requires that we invoke a discrete approximation to any underlying continuous probabalistic process. The GPSS programmer should be keenly aware of these aspects; failure to do so could lead to a model lacking the desired verisimilitude to the object system under study. A methodology is then developed in this paper which utilizes a least squares approach to yield process generators for the exponential, Gaussian and other continuous distributions. This approach is seen to overcome several of the difficulties associated with the conventional GPSS process generators, and will be useful in numerous instances.
precise process generation user language paper requirements integrability simulation clock feature methodology approximation continuation programmer failure model object systems yield distributed association least-squares