New chain imputation methods for estimating population mean in the presence of missing data using two auxiliary variables
From MaRDI portal
Publication:6113640
DOI10.1007/s40304-021-00251-wzbMath1528.62004OpenAlexW4206423969MaRDI QIDQ6113640
Abhay Pratap Pandey, Unnamed Author
Publication date: 11 July 2023
Published in: Communications in Mathematics and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40304-021-00251-w
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Amputation versus imputation of missing values through ratio method in sample surveys
- Indirect methods of imputation of missing data based on available units
- Missing data and auxiliary information in surveys
- Imputation by power transformation
- Improved Estimators of the Population Mean for Missing Data
- Estimators for the Population Mean in the Case of Missing Data
- On improvement in estimating the population mean in simple random sampling
- Inference and missing data
- Ratio Estimators in Stratified Random Sampling
- On improvement in estimating population mean in stratified random sampling
- 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
- Estimation of ratio of population means in survey sampling when some observations are missing
- Compromised imputation in survey sampling.
This page was built for publication: New chain imputation methods for estimating population mean in the presence of missing data using two auxiliary variables