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Journal of Nonparametric Statistics Volume 24, 2012 - Issue 1
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Original Articles

The effects of error magnitude and bandwidth selection for deconvolution with unknown error distribution

Xiao-Feng Wang Department of Quantitative Health Sciences/Biostatistics Section, Cleveland Clinic Foundation, Cleveland, OH, 44195, USACorrespondence[email protected]
&
Deping Ye Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, New Foundland, Canada, A1C 5S7
Pages 153-167 | Received 10 Aug 2010, Accepted 30 Nov 2011, Published online: 06 Jan 2012

Citations (9)

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B. Lütkenöner. (2015) A family of kernels and their associated deconvolving kernels for normally distributed measurement errors. Journal of Statistical Computation and Simulation 85:12, pages 2347-2363.
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Articles from other publishers (8)

Jun Cai, William C. Horrace & Christopher F. Parmeter. (2021) Density deconvolution with Laplace errors and unknown variance. Journal of Productivity Analysis 56:2-3, pages 103-113.
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Cao Xuan Phuong. (2020) Deconvolution of Cumulative Distribution Function with Unknown Noise Distribution. Acta Applicandae Mathematicae 170:1, pages 483-514.
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Luis Alberto Rodriguez-Picon, Luis Perez-Dominguez, Jose Mejia, Ivan Jc Perez-Olguin & Manuel I. Rodriguez-Borbon. (2019) A Deconvolution Approach for Degradation Modeling With Measurement Error. IEEE Access 7, pages 143899-143911.
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Dang Duc Trong & Cao Xuan Phuong. (2015) Ridge-Parameter Regularization to Deconvolution Problem with Unknown Error Distribution. Vietnam Journal of Mathematics 43:2, pages 239-256.
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Xiao-Feng Wang & Deping Ye. (2015) Conditional density estimation in measurement error problems. Journal of Multivariate Analysis 133, pages 38-50.
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J.J. Stirnemann, F. Comte & A. Samson. (2012) Density estimation of a biomedical variable subject to measurement error using an auxiliary set of replicate observations. Statistics in Medicine 31:30, pages 4154-4163.
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Sandra Plancade, Yves Rozenholc & Eiliv Lund. (2012) Generalization of the normal-exponential model: exploration of a more accurate parametrisation for the signal distribution on Illumina BeadArrays. BMC Bioinformatics 13:1.
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Bin Wang, Shu-Guang Zhang, Xiao-Feng Wang, Ming Tan & Yaguang Xi. (2012) Testing for Differentially-Expressed MicroRNAs with Errors-in-Variables Nonparametric Regression. PLoS ONE 7:5, pages e37537.
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