Khmčin-kullback-leiblee estimation with inequality constraints

Abstract

In this paper we extend our grasp of statistical theory, duality theory, and computational convenience to the general linear inequality situation in K²L (or minimum discrimination information) estimation by exhibiting it as the limit of a simple one parameter sequence of equality problems. Only the finite discrete distribution case is treated here.