Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

This is a preview. Log in through your library . Abstract We examine large-sample properties of cross-validation for estimating cell probabilities, starting from a completely general measure of loss.

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 ...

Common ordinal models, including the ordered logit model and the continuation ratio model, are formulated by a common score (ie, a linear combination of given explanatory variables) plus rank-specific ...

Two estimates of the density function f(x, y) of points in a plane are defined from a sample of n points by (1) counting how many points lie within a square of side 2h and center at (x, y), and (2) by ...

Pramote Cholayudth, [email protected], is the founder and manager of PM Consult. He is an industrial pharmacist with more than 40 years of experience. He is a guest speaker on process validation ...