Constrained estimators of treatment parameters in semiparametric models

Semiparametric models are generalizations of parametric regression models. We present a method of estimation of treatment effects in a semiparametric model with one smoothing term under additional conditions on their linear functions and its application to hypothesis testing.

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Year of publication:	2007
Authors:	Przystalski, Marcin ; Krajewski, Pawel
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 77.2007, 9, p. 914-919
Publisher:	Elsevier
Keywords:	Cubic smoothing splines Estimation Hypothesis testing Loess

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005138354