This study extends the Poisson binomial distribution by introducing correlation and dependence between binomial events, enhancing its ability to capture complex event types and improving model ...

This is a preview. Log in through your library . Abstract We consider the Darvey, Ninham and Staff model for reversible chemical reactions, in the case where the ratio of the rate constants is either ...

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 ...

This paper proves a converse to a theorem of L. D. Brown and Y. Rinott concerning positive dependence ordering for multivariate compound Poisson distributions. Journal Information The purpose of The ...

This section describes the probability distributions available in the RELIABILITY procedure for probability plotting and parameter estimation. Refer to Lawless (1982, p. 240) for a description of the ...

This article discusses the contribution of counting statistics to the uncertainty in identifying the net peak area, and in controlling detection limits. The method is applicable to spectrometers that ...