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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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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2007
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| 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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