A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

Normal Probability Plot: a quantile-quantile plot where one of the data sets is normally distributed. Probability Density Function: a function of a continuous random variable, such that the area under ...

Building on the widely-used double-lognormal approach by Bahra (1997), this paper presents a multi-lognormal approach with restrictions to extract risk-neutral probability density functions (RNPs) for ...

A non-Bayesian derivation of the predictive estimate of a multivariate normal density function is given. The estimate is obtained as best invariant estimate in terms of a goodness-of-fit criterion ...

Mixture probability density functions have recently been proposed to describe some fertility patterns characterized by a bimodal shape. These functions are adequate when the fertility pattern is ...

The Density Functional Based on Confluent Hypergeometric function (DFCH) was the most accurate "true" RND estimator during the stressed period (September 2008 to December 2008). However, the Mixture ...