Estimators for the Population Mean in the Case of Missing Data

DOI10.1080/03610920701855020zbMath1143.62007OpenAlexW2006717666MaRDI QIDQ3526077

Cem Kadilar, Hulya Cingi

Publication date: 24 September 2008

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920701855020

zbMATH Keywords

efficiencyregression estimatorsimple random samplingratio-type estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (20)

Estimating the population mean in the case of missing data using simple random sampling ⋮ Some general classes of efficient estimators in case of missing data ⋮ Efficient imputation methods to handle missing data in sample surveys ⋮ Some improved and alternative imputation methods for finite population mean in presence of missing information ⋮ New chain imputation methods for estimating population mean in the presence of missing data using two auxiliary variables ⋮ Some efficient estimators in case of missing data ⋮ Ratio estimators of the population mean with missing values using ranked set sampling ⋮ New regression-type compromised imputation class of estimators with known parameters of auxiliary variable ⋮ Unnamed Item ⋮ Combination of regression and ratio estimate in presence of nonresponse ⋮ Estimation of population mean using a difference-type exponential imputation method ⋮ Optimality of ratio type estimation methods for population mean in the presence of missing data ⋮ Optimal imputation of the missing data using multi auxiliary information ⋮ A class of estimators in two-phase sampling with subsampling the non-respondents ⋮ Improved Estimators of the Population Mean for Missing Data ⋮ Some compromised exponential ratio type imputation methods in simple random sampling ⋮ Estimation of population mean using imputation methods for missing data under two-phase sampling design ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Imputation based mean estimators in case of missing data utilizing robust regression and variance–covariance matrices

Cites Work

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• A new estimator using two auxiliary variables
• Indirect methods of imputation of missing data based on available units
• Missing data and auxiliary information in surveys
• Ratio estimators in simple random sampling
• Imputation by power transformation
• Introduction to variance estimation
• Compromised imputation in survey sampling.

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