We discuss the design of interactive, internet based benchmarking using parametric (statistical) as well as non-parametric (DEA) models. The user receives benchmarks and improvement potentials. The user is also given the possibility to search different efficiency frontiers and hereby to explore alternative improvement strategies. An implementation of both a parametric and a non parametric model...

In this paper, we present a new framework for the diagnostic prediction of transmitted speech quality. The idea is to extract perceptually relevant feature estimations from the speech signal, and combine them with an overall quality metric in order to obtain more reliable as well as more diagnostic predictions of speech quality. We implement this framework in two complementary ways: In terms of...

In this paper we discuss estimation of parameters from quantized data. Extending some recent results appeared in the literature we show that, under a regularity assumption on the parametric model describing the data, the Maximum Likelihood estimator can be found, asymptotically, in closed form in two steps. The first is a non-linear (and invertible) mapping of the observed relative frequencies ...

It is shown that the global power function of any nonparametric test is flat on balls of alternatives except for alternatives coming from a finite dimensional subspace. The present benchmark is here the upper one-sided (or two-sided) envelope power function. Every choice of a test fixes a priori a finite dimensional region with high power. It turns out that also the level points are far away fr...

This document is the tutorial of the CGAL extension package for parametric search. It gives an overview of the parametric-search framework, and explains how to use it by describing implementations of several applications of parametric search. The full documentation of all classes and functions that are meant to be called from user-code can be found in the reference manual.

This Article is brought to you for free and open access by the Physics at ODU Digital Commons. It has been accepted for inclusion in Physics Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. Repository Citation Balik, S.; Win, A. L.; and Havey, M. D., "Imaging-Based Parametric Resonance in an Optical Dipole-A...

In this paper we will be concerned with speckle removal in ultrasound images. To this end, we introduce a new spatio-temporal de-noising method based on a variational formulation. The regularization relies on a non parametric image model that describes the observed image structure and express inter-dependencies between pixels in space and time. Furthermore, we introduce a new data term adapted ...