Robust ratio-type estimators in simple random sampling

DOI10.1016/j.jkss.2011.04.001zbMath1296.62025OpenAlexW2020099717MaRDI QIDQ743772

Evrim Oral, Cem Kadilar

Publication date: 30 September 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2011.04.001

zbMATH Keywords

modified maximum likelihoodsimple random samplingratio-type estimatorsKadilar-Cingi estimatorssuper-population

Mathematics Subject Classification ID

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

Related Items (8)

Ratio-type estimators for improving mean estimation using Poisson regression method ⋮ Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information ⋮ An improved class of robust ratio estimators by using the minimum covariance determinant estimation ⋮ Robust ratio estimators of population mean for skewed and contaminated population ⋮ Robust ratio and product based estimators using known auxiliary information through modified maximum likelihood ⋮ Improved estimator of population total in PPS sampling ⋮ Properties of exponential ratio type estimators in equal probability sampling: a simulation study ⋮ Commentary on S. Kumar and P. Chhaparwal, 2016. A robust unbiased dual to product estimator for population mean through Modified Maximum Likelihood in simple random sampling, Cogent Mathematics, 3:1168070

Cites Work

• Ratio estimators in simple random sampling
• Multiple Linear Regression Model Under Nonnormality
• Outlier Robust Finite Population Estimation
• Outlier Resistant Alternatives to the Ratio Estimator
• NONNORMAL REGRESSION. I. SKEW DISTRIBUTIONS
• NONNORMAL REGRESSION. II. SYMMETRIC DISTRIBUTIONS
• Unnamed Item
• Unnamed Item

This page was built for publication: Robust ratio-type estimators in simple random sampling