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~institution:"Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund"
~institution:"Wirtschaftswissenschaftliche Fakultät, Universität Regensburg"
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smoothing spline
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B-spline
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D- and G-optimal designs
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derivative
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monotonicity
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nonparametric regression
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penalty
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saturated designs
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Dette, Holger
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Kagerer, Kathrin
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Melas, Viatcheslav B.
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
Wirtschaftswissenschaftliche Fakultät, Universität Regensburg
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Dipartimento di Scienze Economiche, Statistiche e Finanziarie, Università della Calabria
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Tinbergen Institute
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Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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University of Regensburg Working Papers in Business, Economics and Management Information Systems
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A short introduction to splines in least squares regression analysis
Kagerer, Kathrin
-
Wirtschaftswissenschaftliche Fakultät, Universität …
-
2013
Splines are an attractive way of flexibly modeling a regression curve since their basis functions can be included like ordinary covariates in regression settings. An overview of least squares regression using splines is presented including many graphical illustrations and comprehensive examples....
Persistent link: https://www.econbiz.de/10010633748
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Optimal designs for smoothing splines
Dette, Holger
;
Melas, Viatcheslav B.
;
Pepelyshev, Andrey
-
Institut für Wirtschafts- und Sozialstatistik, …
-
2007
curve is estimated by a
smoothing
spline
. A new basis for the space of natural splines is derived, and the local minimax …
Persistent link: https://www.econbiz.de/10009216844
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