Combining mental fit and data fit for classification rule selection

SIGLEAvailable from TIB Hannover: RR 8460(2001,25) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Clustering of business cycles in optimal directions found by SIR and DAME

SIGLEAvailable from TIB Hannover: RR 8460(2002,13) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Design of experiments for static influences on harmonic processes

SIGLEAvailable from TIB Hannover: RR 8460(2002,60) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Canonical moments, orthogonal polynomials with application to statistics

SIGLEAvailable from TIB Hannover: RR 8460(2002,14) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Combination of biased forecasts: Bias correction or bias based weights?

Most of the literature on combination of forecasts deals with the assumption of unbiased individual forecasts. Here, we consider the case of biased forecasts and discuss two different combination techniques resulting in an unbiased forecast. On the one hand we correct the individual forecasts, and on the other we calculate bias based weights. A simulation study gives some insight in the situations where we should use the different methods. (orig.)Available from TIB Hannover: RR 8460(1999,50) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Influence of philosophical concepts of causality on causal modelling in statistical research

In this paper causality is seen from a pluralist point of view: About its physical reality one can not claim to know anything as it is seen to be not a matter of fact but rather a matter of human perception. Different philosophical concepts of causality are presented and their philosophical impact and their limitations are sketched. They are shown to underlie different statistical causal modelling. For Pearl's (1995) causal graphical models, the decision theoretic causal graphical models of Heckerman and Shachter (1995) and the potential-response model of Rubin (1974) it is indicated how the advantages and disadvantages of their underlying causal concepts influence their applicability in certain scientific contexts and their acceptancy by individual researchers. (orig.)Available from TIB Hannover: RR 8460(1998,30) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

On the distribution of a test statistic for outlier identification in exponential samples

SIGLEAvailable from TIB Hannover: RR 8460(2000,57) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

An investigation of humus disintegration by spatial-temporal regression analysis

SIGLEAvailable from TIB Hannover: RR 8460(2003,18) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Approximating data and statistical procedures. I. Approximating data

SIGLEAvailable from TIB Hannover: RR 8460(2003,7) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Model selection strategies for experiments with dispersion effects -transformations vs. generalized linear models

SIGLEAvailable from TIB Hannover: RR 8460(2002,69) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman