Generalized robust-regression-type estimators under different ranked set sampling

DOI10.1007/s40096-020-00360-7zbMath1475.62093OpenAlexW3102352514MaRDI QIDQ2041162

Yanyan Li

Publication date: 15 July 2021

Published in: Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40096-020-00360-7

zbMATH Keywords

regression-type estimatorsranked set samplingmedian ranked set samplingratio-type estimatorsrobust regression methods

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) Sampling theory, sample surveys (62D05)

Related Items (2)

New robust class of estimators for population mean under different sampling designs ⋮ Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability

Uses Software

• R

Cites Work

• Ratio estimation of the population mean using auxiliary information in simple random sampling and median ranked set sampling
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• Double-ranked set sampling
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• Robust regression: Asymptotics, conjectures and Monte Carlo
• New difference-cum-ratio and exponential type estimators in median ranked set sampling
• L Ranked Set Sampling: A Generalization Procedure for Robust Visual Sampling
• Pair Rank Set Sampling
• New ranked set sampling for estimating the population mean and variance
• Modified regression estimators using robust regression methods and covariance matrices in stratified random sampling
• Modified ratio estimators using robust regression methods
• Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information
• A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information
• Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling
• Ratio estimators of the population mean with missing values using ranked set sampling
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