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Erschienen in:
1991 | OriginalPaper | Buchkapitel
Point and Counting Processes: Introduction and Preliminaries
verfasst von : Donald L. Snyder, Michael I. Miller
Erschienen in: Random Point Processes in Time and Space
Verlag: Springer New York
Enthalten in: Professional Book Archive
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A random point process is a mathematical model for a physical phenomenon characterized by highly localized events distributed randomly in a continuum. Each event is represented in the model by an idealized point to be conceived of as identifying the position of the event. If X denotes the continuum space, then a realization of a random point process on X is a set of points in X. The number and variety of phenomena for which this type of stochastic process provides a reasonable mathematical model is surprisingly large. Here are ten examples indicating some of the forms X may have.