Optimal imputation of the missing data using multi auxiliary information
From MaRDI portal
Publication:1995855
DOI10.1007/S00180-020-01016-9zbMath1505.62065OpenAlexW3042288136MaRDI QIDQ1995855
Shashi Bhushan, Abhay Pratap Pandey
Publication date: 25 February 2021
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-020-01016-9
Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05) Missing data (62D10)
Related Items (3)
Estimation of population mean in presence of missing data under simple random sampling ⋮ Optimality of ratio-type imputation methods for estimation of population mean using higher order moment of an auxiliary variable ⋮ Some optimal estimators of finite population variance using dual of auxiliary variable in the presence of random non-response
Cites Work
- Unnamed Item
- Unnamed Item
- Imputation by power transformation
- Estimation of population mean using imputation methods for missing data under two-phase sampling design
- Improved Estimators of the Population Mean for Missing Data
- A Sampling Procedure for Mailed Questionnaires
- MULTIVARIATE RATIO ESTIMATION FOR FINITE POPULATIONS
- Estimators for the Population Mean in the Case of Missing Data
- Inference and missing data
- Some improved and alternative imputation methods for finite population mean in presence of missing information
- On optimality of imputation methods for estimation of population mean using higher order moment of an auxiliary variable
- Optimality of ratio type estimation methods for population mean in the presence of missing data
- A new method of imputation in survey sampling
- The Utilization of a Known Coefficient of Variation in the Estimation Procedure
- Compromised imputation in survey sampling.
This page was built for publication: Optimal imputation of the missing data using multi auxiliary information
