An important problem of the statistical analysis of time series is to detect change-points in the mean structure. Since this problem is a one-dimensional version of the higher dimensional problem of detecting edges in images, we study detection rules which benefit from results obtained in image...

Motivated by applications in statistical quality control and signal analysis, we propose a sequential detection procedure which is designed to detect structural changes, in particular jumps, immediately. This is achieved by modifying a median filter by appropriate kernel-based jump preserving...

We consider the problem of finding D-optimal designs for estimating the coefficients in a weighted polynominal regression model with a certain efficiency function depending on two unknown parameters, which models he heteroscedastic error structure. This problem is tackled by adopting a Bayesian...

In this paper a new method for monotone estimation of a regression function is proposed. The estimator is obtained by the combination of a density and a regression estimate and is appealing to users of conventional smoothing methods as kernel estimators, local polynomials, series estimators or...

Motivated in part by applications in model selection in statistical genetics and sequential monitoring of financial data, we study an empirical process framework for a class of stopping rules which rely on kernel-weighted averages of past data. We are interested in the asymptotic distribution...

The paper reports a robust parameter design experiment, where we have used Taguchi's product array and a combined array simultaneously. This was done as part of a research project dealing with experimental design to optimise the process of sheet metal spinning. We found that the classical...

In many applications one is interested to detect certain (known) patterns in the mean of a process with smallest delay. Using an asymptotic framework which allows to capture that feature, we study a class of appropriate sequential nonparametric kernel procedures under local nonparametric...

Die relative Kaufkraftparitätentheorie (KKPT) wird am Beispiel des DM-Peseten-Kurses auf ihre Stichhaltigkeit in der langen Frist überprüft. Methodisch wird dabei auf zwei Verfahren der Kointegrationsanalyse zurückgegriffen. Trotz einer Vielzahl von Ansätzen kann nur in zwei Fällen...

Die Fundamentalanalyse des Aktienkursindexes kann zur Ermittlung des Gleichgewichtskurses für diesen Index herangezogen werden. Meist genügen bereits wenige makroökonomische Variablen zur Erklärung eines solchen Gleichgewichts- oder Fundamentalpfads, der dem Börsenanalytiker die Aufdeckung...

In dieser Arbeit wird ein Fehlerkorrekturmechanismus zur Modellierung der Umlaufrendite festverzinslicher Wertpapiere in den Jahren 1976 - 1994 verwendet. Dabei kommen sowohl Einzelgleichungsschätzverfahren, als auch ein Systemschätzverfahren zur Anwendung.