A Poisson distribution is appropriate when you have events that occur
The last condition means that the probability of more than one event occurring at any particular point in space or time is zero (or negligible).
However, if the parameter (mean) of the Poisson distribution, L, is greater than 10, you may be better off using the Normal approximation, N(L, L), with the appropriate continuity corrections.
Yes.
Why belong exponential family for poisson distribution
A poisson process is a non-deterministic process where events occur continuously and independently of each other. An example of a poisson process is the radioactive decay of radionuclides. A poisson distribution is a discrete probability distribution that represents the probability of events (having a poisson process) occurring in a certain period of time.
The exponential distribution and the Poisson distribution.
Given a Poisson distribution with mean = 2. Find P(X < 5)
The Poisson distribution. The Poisson distribution. The Poisson distribution. The Poisson distribution.
The Poisson distribution is discrete.
Yes.
Why belong exponential family for poisson distribution
A poisson process is a non-deterministic process where events occur continuously and independently of each other. An example of a poisson process is the radioactive decay of radionuclides. A poisson distribution is a discrete probability distribution that represents the probability of events (having a poisson process) occurring in a certain period of time.
Poisson and Binomial both the distribution are used for defining discrete events.You can tell that Poisson distribution is a subset of Binomial distribution. Binomial is the most preliminary distribution to encounter probability and statistical problems. On the other hand when any event occurs with a fixed time interval and having a fixed average rate then it is Poisson distribution.
Poisson distribution or geometric distribution
The exponential distribution and the Poisson distribution.
If this is the only information that you have then you must use the Poisson distribution.
symmetrical
It can be.
It is a discrete distribution in which the men and variance have the same value.