A Monte Carlo simulation was used to generate data for a comparison of five robust regression estimation methods with ordinary least squares (OLS) under 36 different outlier data configurations. Two of the robust estimators, Least Absolute Value (LAV) estimation and MM estimation, are...

The article used the ATE estimation framework to derive consistent semi-parametric estimators of population adoption rates and their determinants of the NERICA (New Rice for Africa) rice varieties in Nigeria. Empirical evidence shows that the observed sample adoption rate does not consistently...

This paper shows that the observed sample adoption rate does not consistently estimate the population adoption rate even if the sample is random. It is proved that instead the sample adoption rate is a consistent estimate of the population joint exposure and adoption rate, which does not inform...

In this dissertation new test statistics for the (panel) unit root hypothesis are presented. Besides a novel approach to testing the unit root hypothesis in univariate time series, the major part of this thesis is dedicated to unit root testing in cross sectionally dependent panels with...

This essay considers decision-theoretic foundations for robust Bayesian statistics. We modify the approach of Ramsey, de Finetti, Savage and Anscombe and Aumann in giving axioms for a theory of robust preferences. We establish that preferences which satisfy axioms for robust preferences can be...

Power and effect size analysis are important methods in the psychological sciences. It is well known that classical statistical tests are not robust with respect to power and type II error. However, relatively little attention has been paid in the psychological literature to the effect that...

A time series analysis was performed on medical scheme statistics with the aim of determining current and future demographic and economic trends. This would enable one to reach a better perspective on the current and future financial dilemma presently experienced by medical schemes. Data for the...

In der vorliegenden Arbeit werden Modelle für die Portfolio-Optimierung analysiert und implementieren. Dabei stehen quantitative Methoden der Fuzzy-Logik im Vordergrund. Zunächst wird das klassische Portfolio-Modell nach Markowitz dargestellt und dessen Resultate für einen Vergleich mit einem...

A methodology is proposed for evaluating the level of service within an airportlandside system from the passenger's point of view using linguistic servicecriteria. The new concept of level of service for a transport system, particularlywithin the airports indicates that there must be strong...