Empirical distribution function estimators based on sampling designs in a finite population using single auxiliary variable

DOI10.1080/02664763.2019.1625311OpenAlexW2949425170WikidataQ127733692 ScholiaQ127733692MaRDI QIDQ5036949

Yusuf Can Sevil, Tugba Ozkal Yildiz

Publication date: 25 February 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2019.1625311

zbMATH Keywords

auxiliary variableempirical distribution functionranked set samplingrelative efficiencyintegrated mean squared errorsampling designs

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (2)

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Cites Work

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• On unbiased estimates of the population mean based on the sample stratified by means of ordering
• Isotonized CDF Estimation from Judgment Poststratification Data with Empty Strata
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• Performances of some goodness-of-fit tests for sampling designs in ranked set sampling
• A new class of unbiased linear estimators in systematic sampling
• Power comparison of the Kolmogorov–Smirnov test under ranked set sampling and simple random sampling

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