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Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error

In many applications we can expect that, or are interested to know if, a density function or a regression curve satisfies some specific shape constraints. For example, when the explanatory variable, X, represents the value taken by a treatment or dosage, the conditional mean of the response, Y , is...

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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Carroll, Raymond J., Delaigle, Aurore, Hall, Peter
Format: Artigo
Langue:Inglês
Publié: 2011
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3115552/
https://ncbi.nlm.nih.gov/pubmed/21687809
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jasa.2011.tm10355
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