Student(in) der Altenpflege

Zusammenfassung  Lohnt sich ein Pflegemanagement-Studium? — Bessere Jobs, Führungsaufgaben und letztendlich auch mehr Geld sind schon Motivation genug, um nach einer Berufsausbildung noch ein Studium zu beginnen. Doch zahlt sich der Einsatz am Ende auch aus? Die Hamburger Fern-Hochschule wollte es genau wissen.     

On irregular functionals of SDEs and the Euler scheme

We prove a sharp upper bound for the error $\mathbb {E}|g(X)-g(\hat{X})|^{p}We prove a sharp upper bound for the error in terms of moments of , where X and are random variables and the function g is a function of bounded variation. We apply the results to the approximation of a solution to a stochastic differential equation at time T by the Euler scheme, and show that the approximation of the payoff of the binary option has asymptotically sharp strong convergence rate 1/2. This has consequences for multilevel Monte Carlo methods. The author was supported by the Finnish Graduate School in Stochastics and Statistics, the Ellen and Artturi Nyyss?nen Foundation, and the Academy of Finland, project #110599.     

A data mining approach to financial time series modelling and forecasting

This paper describes one of the relatively new data mining techniques that can be used to forecast the foreign exchange time series process. The research aims to contribute to the development and application of such techniques by exposing them to difficult real-world (non-toy) data sets. The results reveal that the prediction of a Radial Basis Function Neural Network model for forecasting the daily $US/$NZ closing exchange rates is significantly better than the prediction of a traditional linear autoregressive model in both directional change and prediction of the exchange rate itself. We have also investigated the impact of the number of model inputs (model order), the number of hidden layer neurons and the size of training data set on prediction accuracy. In addition, we have explored how the three different methods for placement of Gaussian radial basis functions affect its predictive quality and singled out the best one. Copyright © 2001 John Wiley & Sons, Ltd.     

The energy crisis and the third world

The economic implications of the latest upsurge of the oil prices for the whole world—and for the developing countries in particular—are such as to make a strategy of common responsibility of industrialized and developing countries more urgent than ever. Rainer Offergeld, Federal Minister for Economic Cooperation, elucidates his ideas about such a strategy.     

Socioemotional Wealth and Innovativeness in Small‐ and Medium‐Sized Family Enterprises: A Configuration Approach

What makes small‐ and medium‐sized family firms (family SMEs) innovative? Some family firm dynamics promote, yet others hinder innovation. It remains unclear whether combinations of family firm dynamics increase innovativeness. Our configurational perspective of socioemotional wealth (SEW) unravels determinants of family SMEs' innovativeness. We conduct a fuzzy set qualitative comparative analysis with 452 Swiss family SMEs. We categorize SEW dimensions into configurations of necessary and sufficient conditions. We contribute to theory on family SMEs' innovativeness because we reveal that the interplay of SEW dimensions leads to innovativeness. This offers practitioners a better framework to choose between SEW configurations.     

On the performance of the ordinary least squares method under an error component model

Starting from the one-dimensional results by Wang et al (1994) we consider the performance of the ordinary least squares estimator in comparison to the best linear unbiased estimator under an error component model with random effects in units and time. Upper bounds are derived for the first-order approximation to the difference between both estimators and for the spectral norm of the difference between their dispersion matrices.