Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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The Nonparametric Deconvolution Problem with Gaussian Error Distribution

  • Published : 1996.06.01
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Abstract

The nonparametric deconvolution problems are studied to recover an unknown density when the data are contaminated with Gaussian error. We propose the estimator which is a linear combination of kernel type estimates of derivertives of the observed density function. We show that this estimator is consistent and also consider the properties of estimator at small sample by simulation.

Keywords

References

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