Nota: A tradução desta entrada está atualmente em revisão de qualidade, portanto parte do conteúdo é exibida temporariamente apenas em inglês.
Este verbete ainda não foi traduzido para o seu idioma, portanto o original é exibido abaixo.
Poisson distribution
This term refers to a specific mathematical model used in statistics to predict the number of times an event will occur within a specific timeframe or space. It is most applicable to rare events where the average rate of occurrence is known, but the exact timing of each individual event is random and independent.
In professional and academic contexts, it is distinguished from the binomial distribution by the fact that it does not have a fixed number of trials. It is commonly employed in fields such as queuing theory, insurance risk assessment, and telecommunications to model arrival rates.
Meanings
Examples
The number of emails arriving per hour typically follows a poisson distribution.
We can use a poisson distribution to model the number of typos on a printed page.
Does this data actually fit a poisson distribution or is it skewed?
The professor explained how the poisson distribution is used for rare events.
I wonder if the frequency of meteor strikes follows a poisson distribution.
The call center uses a poisson distribution to predict peak traffic volumes.
A poisson distribution is an ideal model for counting radioactive decays per second.
Let us assume the arrivals at the bank follow a poisson distribution.
The probability of zero occurrences is calculated using the poisson distribution formula.
The probability of zero occurrences is calculated using the poisson distribution formula.