In this article we review two historical approximations to the Poisson and binomial cumulative distribution functions (CDFs); that is, the Wilson—Hilferty and Camp—Paulson approximations. Both of ...

This article examines the accuracy of normal approximations to confidence limits for the binomial (n,p) parameter p. The method of getting "exact" values from an F table is too slow for practical use ...

The normal distribution is a continuous probability distribution that is symmetrical, bell-shaped, and centred around its mean. It is one of the most important distributions in statistics because many ...

The RISKDIFF option in the TABLES statement provides estimates of risks (or binomial proportions) and risk differences for 2 ×2 tables. This analysis may be appropriate when comparing the proportion ...

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 ...

The binomial distribution models the number of successes in a fixed number of independent Bernoulli trials. It's characterized by two parameters: n (number of trials) and p (probability of success on ...