Estimation of a single probit line from multiple toxicity test data

Estimation of the Probit Model from Anonymized Micro Data

The demand of scientists for confidential micro data from official sources has created discussion of how to anonymize these data in such a way that they can be given to the scientific community. We report results from a German project which exploits various options of anonymization for producing such ”scientific-usefiles”. The main concern in the project however is whether estimation of stochas...

How Much Can We Save the Cost from Shifting from Single - Test Strip to Multiple - Test Strip in Point of Care Testing Analysis for Common Clinical Chemistry Parameters ?

Using Heteroskedastic Ordered Probit Models to Recover Moments of Continuous Test Score Distributions from Coarsened Data

Test score distributions of schools or demographic groups are often summarized by frequencies of students scoring in a small number of ordered proficiency categories. We show that heteroskedastic ordered probit (HETOP) models can be used to estimate means and standard deviations of multiple groups’ test score distributions from such data. Because the scale of HETOP estimates is indeterminate up...

Multiple Directional Illuminant Estimation from a Single Image

We present a new method for the detection and estimation of multiple directional illuminants, using only one single image of an object of arbitrary known geometry. The surface is not assumed to be pure Lambertian, instead, it can have both Lambertian and specular properties. We propose a novel methodology that integrates information from shadows, shading and specularities in the presence of str...

Model Based Forest Height Estimation from Single Baseline Pol-InSAR Data: The Fichtelgebirge Test Case

In this paper the potential of forest height estimation from single baseline quad-polarised interferometric SAR data is evaluated. The achieved estimation performance for a variety of (temperate) forest and topographic conditions is assessed and discussed.