On Estimating Distribution Functions Using Nomination Samples

DOI10.2307/2291272zbMath0794.62025OpenAlexW4241758852MaRDI QIDQ4292109

Paul H. Kvam, Francisco J. Samaniego

Publication date: 10 July 1994

Full work available at URL: https://doi.org/10.2307/2291272

zbMATH Keywords

mean squared errorconditioningsquared error lossleast squares estimatornonparametric maximum likelihood estimatorconditional riskproduct estimatorKolmogorov-Smirnov distancesubsamplesindependently distributed maximanomination sample

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (5)

Confidence intervals for quantiles in finite populations with randomized nomination sampling ⋮ On continuous distribution functions, minimax and best invariant estimators, and integrated balanced loss functions ⋮ Randomized nomination sampling for finite populations ⋮ Parametric inference using nomination sampling with an application to Mercury contamination in fish ⋮ Nonparametric confidence intervals for quantiles with randomized nomination sampling

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