Nonparametric Density Estimation from Biased Data with Unknown Biasing Function

DOI10.2307/2669470zbMath0996.62031OpenAlexW4250131488MaRDI QIDQ4541315

M. C. Jones, Chris J. Lloyd

Publication date: 30 July 2002

Full work available at URL: https://doi.org/10.2307/2669470

zbMATH Keywords

kernel density estimationweighted distributionmark recapture

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items (7)

An overview of nonparametric contributions to the problem of functional estimation from biased data ⋮ Nonparametric estimation from proportional hazards competing risks data under selection bias ⋮ Inferences from biased samples with a memory effect ⋮ Nonparametric inference under competing risks and selection-biased sampling ⋮ Permutation tests from biased samples for the equality of two distributions ⋮ Semiparametric Density Deconvolution ⋮ Nonparametric estimation for big-but-biased data

Uses Software

• KernSmooth

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