Poisson process is a continuous version of Bernoulli
process.
The main difference between the Bernoulli process and Poisson
Process
- In Bernoulli process, inter-arrival times have geometric distribution, on the other hand in Poisson process inter-arrival times have exponential distribution. (Exponential is the continuous analogue of the geometric distribution)
- The number of arrivals in an interval has binomial distribution in Bernoulli process wheres in Poisson distribution it has Poisson distribution.
- The arrival times have negative binomial distributions in the Bernoulli process, but in the Poisson process it is Gamma distribution.
Note: Both Binomial and Poisson distribution used to
measure number of certain random events (or “successes”) within a time interval.
Binomial is based on discrete events and Poisson is based on continuous events.
Given a Binomial distribution with some n,p where n is
the number of attempt and p is the probability of success
if n→ and p→0 in such a way that np→λ then that
distribution approaches a Poisson distribution with parameter λ.
*** Renewal process is a special kind of arrival
process., in which the inter-arrival intervals are positive, independent and
identically distributed (IID) random variables. The Poisson process is a special
kind of renewal process.
The Poisson process has extra property than Renewal process-
Memory-less property.
P(X>t+x | X> t)=P(X>x), x>=0 means it does
not depend on past events.
If you have query write in the comment section.
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