Estimation of Population Variance from Multi-ranker Ranked Set Sampling Designs

DOI10.1080/03610918.2014.948191zbMath1348.62030OpenAlexW2313252225MaRDI QIDQ2828770

Omer Ozturk, Neslihan Demirel

Publication date: 26 October 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.948191

zbMATH Keywords

variance estimatorrelative efficiencyimperfect rankingsmulti-ranker modelpartially rank-ordered set sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (3)

Estimation of population proportion using concomitant based ranked set sampling ⋮ Combining ranking information from different sources in ranked‐set samples ⋮ Judgment post-stratified assessment combining ranking information from multiple sources, with a field phenotyping example

Cites Work

• Ranked set sampling theory with selective probability vector
• New imperfect rankings models for ranked set sampling
• On ranked-set sample quantiles and their applications
• On unbiased estimates of the population mean based on the sample stratified by means of ordering
• Combining multi-observer information in partially rank-ordered judgment post-stratified and ranked set samples
• Judgement Post‐Stratification with Imprecise Rankings
• A Nonparametric Mean Estimator for Judgment Poststratified Data
• Ranked Set Sampling Theory with Order Statistics Background
• A New Ranked Set Sample Estimator of Variance
• Nonparametric Two-Sample Methods for Ranked-Set Sample Data

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