For the binomial, it is independent trials and a constant probability of success in each trial.
For the Poisson, it is that the probability of an event occurring in an interval (time or space) being constant and independent.
The key difference between the Poisson and Binomial distributions lies in their underlying assumptions and applications. The Binomial distribution models the number of successes in a fixed number of independent trials, each with the same probability of success, while the Poisson distribution models the number of events occurring in a fixed interval of time or space when these events happen independently and at a constant average rate. Additionally, the Binomial distribution is characterized by two parameters (number of trials and probability of success), whereas the Poisson distribution is defined by a single parameter (the average rate of occurrence).
Discrete
The triangular, uniform, binomial, Poisson, geometric, exponential and Gaussian distributions are some that can be so defined. In fact, the Poisson and exponential need only the mean.
Yes.
Why belong exponential family for poisson distribution
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.
Discrete
The binomial distribution is a discrete probability distribution. The number of possible outcomes depends on the number of possible successes in a given trial. For the Poisson distribution there are Infinitely many.
The Poisson distribution is characterised by a rate (over time or space) of an event occurring. In a binomial distribution the probability is that of a single event (outcome) occurring in a repeated set of trials.
The Poisson distribution is a limiting case of the binomial distribution when the number of trials is very large and the probability of success is very small. The Poisson distribution is used to model the number of occurrences of rare events in a fixed interval of time or space, while the binomial distribution is used to model the number of successful outcomes in a fixed number of trials.
The Poisson distribution with parameter np will be a good approximation for the binomial distribution with parameters n and p when n is large and p is small. For more details See related link below
The Poisson distribution. The Poisson distribution. The Poisson distribution. The Poisson distribution.
The triangular, uniform, binomial, Poisson, geometric, exponential and Gaussian distributions are some that can be so defined. In fact, the Poisson and exponential need only the mean.
If this is the only information that you have then you must use the Poisson distribution.
The Poisson distribution is discrete.
Yes.
Why belong exponential family for poisson distribution