4.2 Article

Constrained estimators of treatment parameters in semiparametric models

期刊

STATISTICS & PROBABILITY LETTERS
卷 77, 期 9, 页码 914-919

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ELSEVIER SCIENCE BV
DOI: 10.1016/j.spl.2006.12.013

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cubic smoothing splines; estimation; hypothesis testing; loess

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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. (C) 2007 Elsevier B.V. All rights reserved.

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