Abstract
Abstract 1. In many problems occurring in practice—especially problems connected with the theory of stochastic processes—the distribution function (d.f.) takes a form that makes it difficult to perform numerical computations without the use of electronic machines. Often, however, the corresponding characteristic function (c.f.) is a rather simple function, and then the question arises if the knowledge of this function may facilitate the numerical work and make it possible to perform at least an approximate computation of the d.f. in a simpler manner than by means of electronic machines.
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