Deconvolution Estimation in Measurement Error Models: The R Package decon.

@article{Wang2011DeconvolutionEI,
  title={Deconvolution Estimation in Measurement Error Models: The R Package decon.},
  author={Xiao-Feng Wang and Bin Wang},
  journal={Journal of statistical software},
  year={2011},
  volume={39 10}
}
  • Xiao-Feng WangBin Wang
  • Published 1 March 2011
  • Mathematics
  • Journal of statistical software
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 R, which contains a collection of functions that use the deconvolution kernel methods to deal with the measurement error problems. The functions allow the errors to be either homoscedastic or… 
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147 Citations
Highly Influential Citations
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Background Citations
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Methods Citations
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Results Citations
1

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