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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...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2011
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| Aiheet: | |
| Linkit: | 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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