A novel family of variance estimators based on L-moments and calibration approach under stratified random sampling

DOI10.1080/03610918.2021.1945629OpenAlexW3193631099MaRDI QIDQ6050509

Ibrahim M. Almanjahie, Ishfaq Ahmad, Unnamed Author, Unnamed Author, Unnamed Author

Publication date: 18 September 2023

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

Full work available at URL: https://doi.org/10.1080/03610918.2021.1945629

zbMATH Keywords

extreme valuesvariance estimationL-momentsstratified random samplingcalibration approach

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (2)

Estimation of finite population variance under stratified random sampling ⋮ Some improved classes of estimators in stratified sampling using bivariate auxiliary information

Cites Work

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• Use of coefficient of variation in calibration estimation of population mean in stratified sampling
• New calibration estimator based on two auxiliary variables in stratified sampling
• An improved class of robust ratio estimators by using the minimum covariance determinant estimation
• Imputation based mean estimators in case of missing data utilizing robust regression and variance–covariance matrices

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