Some logarithmic and sine-type imputation techniques for missing data in survey sampling in the presence of measurement errors

DOI10.1080/00949655.2020.1828414OpenAlexW3092204450MaRDI QIDQ5065247

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Publication date: 18 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1828414

zbMATH Keywords

biasmean square errorauxiliary variablemeasurement errorsimulation studyimputation

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistics (62-XX)

Uses Software

• Unnamed Item

Cites Work

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• Imputation by power transformation
• Estimation of population mean on current occasion in two-occasion successive sampling
• Improved Estimators of the Population Mean for Missing Data
• Ratio and Product Type Exponential Estimators
• Inference and missing data
• A family of efficient estimators of the finite population mean in simple random sampling
• Estimation of Population Mean in the Presence of Non-Response and Measurement Error
• Compromised imputation in survey sampling.

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