Some compromised exponential ratio type imputation methods in simple random sampling

DOI10.1007/S40010-020-00719-4zbMath1490.62048OpenAlexW3094517662WikidataQ115600770 ScholiaQ115600770MaRDI QIDQ2057515

Shakti Prasad

Publication date: 6 December 2021

Published in: Proceedings of the National Academy of Sciences, India. Section A. Physical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40010-020-00719-4

zbMATH Keywords

biasauxiliary variablemean square error (MSE)non-responsestudy variablepercent relative efficiency (PRE)

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Uses Software

• SDaA

Cites Work

• Amputation versus imputation of missing values through ratio method in sample surveys
• Imputation by power transformation
• Estimation of population mean using imputation techniques in sample surveys
• Improved Estimators of the Population Mean for Missing Data
• Ratio and Product Type Exponential Estimators
• Estimators for the Population Mean in the Case of Missing Data
• Inference and missing data
• Some imputation methods for missing data in sample surveys
• A new method of imputation in survey sampling
• Compromised imputation in survey sampling.
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Some compromised exponential ratio type imputation methods in simple random sampling