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Deconvolution Estimation in Measurement Error Models: The R Package decon

Data from many scientific areas often come with measurement error. Density or distribution function estimation from contaminated data and nonparametric regression with errors-in-variables are two important topics in measurement error models. In this paper, we present a new software package decon for...

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Bibliografiske detaljer
Main Authors: Wang, Xiao-Feng, Wang, Bin
Format: Artigo
Sprog:Inglês
Udgivet: 2011
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3100171/
https://ncbi.nlm.nih.gov/pubmed/21614139
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