Narrow search
Showing 1 - 10 of 20
Cover Image
Inferenz im linearen Regressionsmodell mit ungleichungsrestringierten Parametern
Knautz, Henning - 2000
Persistent link: https://www.econbiz.de/10001526715
Cover Image
A relative squared error approach to linear regression analysis
Arnold, Bernhard; Stahlecker, Peter - 1999
Persistent link: https://www.econbiz.de/10001432770
Cover Image
Another look at the Kuks-Olman estimator
Arnold, Bernhard; Stahlecker, Peter - 1999
Persistent link: https://www.econbiz.de/10001379094
Cover Image
Relative squared error prediction in the generalized linear regression model
Arnold, Bernhard; Stahlecker, Peter - 1999
Persistent link: https://www.econbiz.de/10001379097
Cover Image
Schätzverfahren im linearen Regressionsmodell bei partiellen und unscharfen Parameterrestriktionen
Klintworth, Markus - 2004
Persistent link: https://www.econbiz.de/10001999156
Cover Image
Minimax-Schätzer im simultanen Gleichungsmodell bei vollständiger und partieller Vorinformation
Schipp, Bernd - 1990
Persistent link: https://www.econbiz.de/10013278177
Cover Image
A-priori-Information und Minimax-Schätzung im linearen Regressionsmodell
Stahlecker, Peter - 1987
Persistent link: https://www.econbiz.de/10013278186
Cover Image
Anwendung der Minimax-Methode auf Produktionsfunktionen mit konstanter Substitutionselastizität
Stemann, Dieter - 1996
Persistent link: https://www.econbiz.de/10013409062
Cover Image
Estimating the smoothing parameter in the so-called Hodrick-Prescott filter
Schlicht, Ekkehart - 2004
This note gives a fairly complete statistical description of the Hodrick-Prescott Filter (1997), originally proposed by Leser (1961). It builds on an approach to seasonal adjustment suggested by Leser (1963) and Schlicht (1981, 1984). A moments estimator for the smoothing parameter is proposed...
Persistent link: https://www.econbiz.de/10010440442
Cover Image
An introduction to nonparametric regression for labor economists
Henderson, Daniel J.; Souto, Anne-Charlotte - 2018
In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in …
Persistent link: https://www.econbiz.de/10011946249