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Non-parametric regression estimation from data contaminated by a mixture of Berkson and classical errors

Estimation of a regression function is a well-known problem in the context of errors in variables, where the explanatory variable is observed with random noise. This noise can be of two types, which are known as classical or Berkson, and it is common to assume that the error is purely of one of thes...

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Detaylı Bibliyografya
Asıl Yazarlar: Carroll, Raymond J., Delaigle, Aurore, Hall, Peter
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2007
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC2733794/
https://ncbi.nlm.nih.gov/pubmed/19718280
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9868.2007.00614.x
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