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Testing additivity by kernel based methods - what is a reasonable test?
Dette, Holger; von Lieres und Wilkau, Carsten - 2000
In the common nonparametric regression model with high dimensional predictor several tests for the hypothesis of an additive regression are investigated. The corresponding test statistics are either based on the diiferences between a fit under the assumption of additivity and a fit in the...
Persistent link: https://www.econbiz.de/10010316577
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A Test for Additivity in Nonparametric Regression
Derbort, Stephan; Dette, Holger; Munk, Axel - In: Annals of the Institute of Statistical Mathematics 54 (2002) 1, pp. 60-82
Persistent link: https://www.econbiz.de/10005395841
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Testing additivity by kernel based methods - what is a reasonable test?
Dette, Holger; von Lieres und Wilkau, Carsten - Institut für Wirtschafts- und Sozialstatistik, … - 2000
In the common nonparametric regression model with high dimensional predictor several tests for the hypothesis of an additive regression are investigated. The corresponding test statistics are either based on the diiferences between a fit under the assumption of additivity and a fit in the...
Persistent link: https://www.econbiz.de/10010955381
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Nonasymptotic Bounds on the L <Subscript>2</Subscript> Error of Neural Network Regression Estimates
Hamers, Michael; Kohler, Michael - In: Annals of the Institute of Statistical Mathematics 58 (2006) 1, pp. 131-151
Persistent link: https://www.econbiz.de/10005169267
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Testing additivity by kernel based methods : what is a reasonable test?
Dette, Holger; Lieres und Wilkau, Carsten von - 2000
In the common nonparametric regression model with high dimensional predictor several tests for the hypothesis of an additive regression are investigated. The corresponding test statistics are either based on the diiferences between a fit under the assumption of additivity and a fit in the...
Persistent link: https://www.econbiz.de/10009783007