Formulation of logarithmic type estimators to estimate population mean in successive sampling in presence of random non response and measurement errors
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Publication:5082861
DOI10.1080/03610918.2019.1659364OpenAlexW2971444553WikidataQ127322370 ScholiaQ127322370MaRDI QIDQ5082861
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Publication date: 21 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2019.1659364
biasmean square errorauxiliary variablemeasurement errorsimulation studyimputationrandom non-responsetwo-occasion successive sampling
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- Imputation by power transformation
- Effective rotation patterns in successive sampling over two occasions
- SOME THEORY OF SAMPLING ON SUCCESSIVE OCCASIONS1
- Rotation Sampling
- Ratio and Product Type Exponential Estimators
- Inference and missing data
- Sample rotation method with auxiliary variable
- Some imputation methods to deal with the problems of missing data in two-occasion successive sampling
- Estimation of Population Mean in the Presence of Non-Response and Measurement Error
- Compromised imputation in survey sampling.
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