This is a preview. Log in through your library . Abstract We propose two test statistics for use in inverse regression problems Y = Kθ + ε, where K is a given linear operator which cannot be ...

In this paper, a linear subspace containing part or all of the information for the regression of a m-vector Y on a p-vector X and its dimension are estimated via the means of inverse regression.

sciences. As a result of this widespread interest in identifying non-monotonic relationships in data and the well-known problems with standard parametric approaches based on quadratic regression ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...