Efficiency study of a robust regression-type estimator for population mean under different ranked set sampling methods with outlier handling
From MaRDI portal
Publication:6593996
DOI10.1214/24-bjps602MaRDI QIDQ6593996
Mayank Pandey, Arnab Bandyopadhyay, Garib Nath Singh
Publication date: 27 August 2024
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
outliersregression-type estimatorsrobust estimationranked set samplingsurvey samplingMahalanobis distancemedian ranked set sampling
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Robust estimation and regression with parametric quantile functions
- On tests and measures of group divergence. I: Theoretical formulae.
- Ratio estimation of the population mean using auxiliary information in simple random sampling and median ranked set sampling
- Robust estimation of a location parameter in the presence of asymmetry
- Double-ranked set sampling
- Generalized robust-regression-type estimators under different ranked set sampling
- Robust estimation for a general functional single index model via quantile regression
- New difference-cum-ratio and exponential type estimators in median ranked set sampling
- Statistical Analysis of Financial Data in S-Plus
- Least Median of Squares Regression
- L Ranked Set Sampling: A Generalization Procedure for Robust Visual Sampling
- The Influence Curve and Its Role in Robust Estimation
- 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
- An exponential family of median based estimators for mean estimation with simple random sampling scheme
- Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information
- Confidence regions in Wasserstein distributionally robust estimation
- A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information
- Imputation based mean estimators in case of missing data utilizing robust regression and variance–covariance matrices
- Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling
- Robust estimation in beta regression via maximum \(\mathrm{L}_q\)-likelihood
- Robust estimation of the population mean using quantile regression under systematic sampling
This page was built for publication: Efficiency study of a robust regression-type estimator for population mean under different ranked set sampling methods with outlier handling