The generation of piecewise linear approximations of probability distribution functions

An iterative non-linear technique is described for approximating a given probability distribution function or set of experimental observations by fitting a subset of their moments to a piecewise linear distribution function. This approximate function may then be used for generating simulated observations from the given function or experimental data. The technique has the advantage over conventional approximation procedures in that it minimizes …