Nonparametric deconvolution of density estimation based on observed sums

DOI10.1080/10485250903094286zbMath1182.62077OpenAlexW2112826161WikidataQ58322520 ScholiaQ58322520MaRDI QIDQ5189258

Albert Vexler, Enrique F. Schisterman, Aiyi Liu

Publication date: 15 March 2010

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250903094286

zbMATH Keywords

design of experimentsdeconvolutionnonparametric density estimationFourier inversionpooling blood samples

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

Related Items (2)

The efficient design of Nested Group Testing algorithms for disease identification in clustered data ⋮ Nonparametric-likelihood inference based on cost-effectively-sampled-data

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