Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero-inflated Poisson regression models are a useful class of models for such data, ...

Two estimators of the probability of falling into the zero class are compared, for a family of populations related to Poisson populations. The first estimator, ε1, is based on the observed proportion ...

A probability distribution, usually displayed graphically, shows the relative likelihood of all possible outcomes occurring within a specific time period.

The Poisson distribution is a discrete probability distribution. It gives the probability of a certain number of events occurring during a fixed interval. This web calculator allows users to specify ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

Injury incidence can be transformed into average probability of injury using a simple Poisson distribution model. Probabilities are the most familiar method of communicating risk to the public, ...

The study integrates Gaussian copula and shifted-gamma copula (factor decomposition) models into the Poisson binomial distribution framework, enabling the valuation of credit portfolios with tranches ...

A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.