Inclusion probabilities in partially rank ordered set sampling

DOI10.1016/j.csda.2013.07.034zbMath1471.62154OpenAlexW2050400382MaRDI QIDQ1615179

Mohammad Jafari Jozani, Omer Ozturk

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.07.034

zbMATH Keywords

finite populationranked set samplingHorvitz-Thompson estimatorcoefficient of variationpartial ranking

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05)

Related Items (13)

Exponentially tilted empirical distribution function for ranked set samples ⋮ Rescaling bootstrap technique for variance estimation for ranked set samples in finite population ⋮ Model‐based inference using judgement post‐stratified samples in finite populations ⋮ Uniform k-Tuple Partially Rank-Ordered Set Sampling ⋮ Constructing quantile confidence intervals using extended simple random sample in finite populations ⋮ Two-stage cluster samples with ranked set sampling designs ⋮ Estimation of population mean and total in a finite population setting using multiple auxiliary variables ⋮ Unnamed Item ⋮ Ratio estimators based on a ranked set sample in a finite population setting ⋮ Robust Bayesian prediction under a general linear-exponential posterior risk function and its application in finite population ⋮ Post-stratified probability-proportional-to-size sampling from stratified populations ⋮ On multiple imputation for unbalanced ranked set samples with applications in quantile estimation ⋮ Estimation of a finite population mean and total using population ranks of sample units

Cites Work

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• Randomized nomination sampling for finite populations
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• Two sample distribution-free inference based on partially rank-ordered set samples
• Nonparametric confidence intervals for quantiles with randomized nomination sampling
• Finite population corrections for ranked set sampling
• Recursive computation of inclusion probabilities in ranked-set sampling
• A note on inclusion probability in ranked set sampling and some of its variations
• Combining multi-observer information in partially rank-ordered judgment post-stratified and ranked set samples
• A New Formula for Inclusion Probabilities in Median-Ranked Set Sampling
• Estimation of population mean and variance in flock management: a ranked set sampling approach in a finite population setting
• A Generalization of Sampling Without Replacement From a Finite Universe

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