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

The behaviour of the mean squared errors of estimators of a density and its derivatives proposed by Singh (1977a) is examined. Asymptotic values of mean squared errors at some points, for the normal ...

This is a preview. Log in through your library . Abstract The notion of probability density for a random function is not as straight-forward as in finite-dimensional cases. While a probability density ...

We propose a method for reconstructing a probability density function (pdf) from a sample of an n-dimensional probability distribution. The method works by iteratively applying some simple ...