Article ID Journal Published Year Pages File Type
1154516 Statistics & Probability Letters 2007 6 Pages PDF
Abstract

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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Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Preview
Constrained estimators of treatment parameters in semiparametric models
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