Nonparametric-likelihood inference based on cost-effectively-sampled-data

DOI10.1080/02664761003692290OpenAlexW2073563234WikidataQ58322510 ScholiaQ58322510MaRDI QIDQ5124801

Enrique F. Schisterman, Albert Vexler, Shuling Liu

Publication date: 30 September 2020

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

Full work available at URL: https://doi.org/10.1080/02664761003692290

zbMATH Keywords

confidence intervalrandom samplingempirical likelihoodpooling designnonparametric methodcost-efficient designStudent's \(t\)-testtype-I error

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Empirical likelihood ratio-based goodness-of-fit test for the Laplace distribution ⋮ Empirical likelihood ratio-based goodness-of-fit test for the logistic distribution ⋮ An efficient correction to the density-based empirical likelihood ratio goodness-of-fit test for the inverse Gaussian distribution ⋮ Unnamed Item ⋮ A density-based empirical likelihood ratio goodness-of-fit test for the Rayleigh distribution and power comparison

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