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We show that OLS and GLS are asymptotically equivalent in the linear regression model with AR (p) disturbances and a wide range of trending regressors_ and that OLS based statistical inference is still meaningful after proper adjustment of the test statistics.
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It is shown that the null distribution of the F-test in a linear regression is rather non-robust to spatial autocorrelation among the regression disturbances. In particular, the true size of the test tends to either zero or unity when the spatial autocorrelation coefficient approaches the...
Persistent link: https://www.econbiz.de/10010982385
This paper illustrates the Support Vector Method for the classification problem with two and more classes. In particular, the multi-class classification Support Vector Method of Weston and Watkins (1998) is correctly formulated as a quadratic optimization problem. Then, the method is applied to...
Persistent link: https://www.econbiz.de/10010982386
Thirteen Stylized Facts of the german economy are studied with different descriptive statistical methods. The results of this study are considered with respect to other results from Project B3 Multivariate Bestimmung und Untersuchung von Konjunkturzyklen.
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This note generalizes previous results on the asymptotic equivalence of Ordinary and Generalized Least Squares estimates in Linear Regression models with trending data.
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In the common polynomial regression model of degree m we consider the problem of determining the D- and D1-optimal designs subject to certain constraints for the D- efficiencies in the models of degree m – j,m + j , … m + k (m j 0 k 0 given). We present a complete solution of these...
Persistent link: https://www.econbiz.de/10010982392
In den Wirtschafts- und Sozialwissenschaften wird die Statistik einmal als Datenlieferant und einmal als Dateninterpretierer wahrgenommen. Während die erste Rolle in Zukunft an Bedeutung eher zunehmen wird, scheint sich die Statistik als Dateninterpretierer von den Bedürfnissen der...
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