20 сент. 2023 г. · Poisson is better suited to situations where there is no hard cap on the potential success cases, whereas Binomial can't have more successes ...

21 мая 2018 г. · Poisson essentially deals with infinite trials because it works with reference to time. Each trial is an infinitely small unit of time.

14 дек. 2023 г. · I want to calculate the probability that a package has more than 2 errors, should i use Poisson or Binomial Distribution to model this probability?

23 февр. 2019 г. · I'm having a difficulty understanding the difference between binomial and poisson distribution. When to use them and what they actually mean.

24 мая 2016 г. · The poisson distribution gives the probability of some number of events X occurring during a fixed time Y; for example, the distribution of the ...

8 июл. 2018 г. · Poisson is typically used as an arrival process, where arrivals are independent (knowing what happen'd before, doesn't give you info for the future).

13 янв. 2016 г. · Poisson distributions are used to model time-based, continuous probabilities though whereas Binomial distributions are usually used to model event-based, ...

30 апр. 2019 г. · A binomial distribution tells the probability of getting a certain amount of 'successes' in a set number of independent events.

9 дек. 2018 г. · The Poisson distribution is basically a binomial distribution that doesn't count failures.

7 нояб. 2019 г. · The Binomial distribution is a set of n independent Bernoulli trials, and the Poisson distribution can be used to approximate the Binomial for large values of ...