A random process that is useful for modeling events occurring in time is the Poisson random process. A typical realization is shown in Figure 21.1 in which the events, indicated by the “x”s, occur randomly in time. The random process, whose realization is a set of times, is called the Poisson random process. The random process that counts the number of events in the time interval [0,t], and which is denoted by N(t), is called the Poisson counting random process.
CITATION STYLE
Kay, S. M. (2012). Poisson Random Processes. In Intuitive Probability and Random Processes Using MATLAB® (pp. 711–738). Springer US. https://doi.org/10.1007/0-387-24158-2_21
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