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Can someone please explain what a Poisson Process is and what it's used for?
Solution
The basic form of Poisson process, often referred to simply as "the Poisson
process", is a continuous-time counting process {N(t), t = 0} that possesses the following
properties: N(0) = 0 Independent increments (the numbers of occurrences counted in disjoint
intervals are independent from each other) Stationary increments (the probability distribution of
the number of occurrences counted in any time interval only depends on the length of the
interval) No counted occurrences are simultaneous. Consequences of this definition include:
The probability distribution of N(t) is a Poisson distribution. The probability distribution of the
waiting time until the next occurrence is an exponential distribution. The occurrences are
distributed uniformly on any interval of time. (Note that N(t), the total number of occurrences,
has a Poisson distribution over (0, t], whereas the location of an individual occurrence on t ? (a,
b] is uniform.) Other types of Poisson process are described below

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Can someone please explain what a Poisson Process is and what its .pdf

  • 1. Can someone please explain what a Poisson Process is and what it's used for? Solution The basic form of Poisson process, often referred to simply as "the Poisson process", is a continuous-time counting process {N(t), t = 0} that possesses the following properties: N(0) = 0 Independent increments (the numbers of occurrences counted in disjoint intervals are independent from each other) Stationary increments (the probability distribution of the number of occurrences counted in any time interval only depends on the length of the interval) No counted occurrences are simultaneous. Consequences of this definition include: The probability distribution of N(t) is a Poisson distribution. The probability distribution of the waiting time until the next occurrence is an exponential distribution. The occurrences are distributed uniformly on any interval of time. (Note that N(t), the total number of occurrences, has a Poisson distribution over (0, t], whereas the location of an individual occurrence on t ? (a, b] is uniform.) Other types of Poisson process are described below