Imputation of missing data using multi auxiliary information under ranked set sampling

• Published in: Communications in statistics. Simulation and computation Vol. 54; no. 5; pp. 1500 - 1521
• Main Authors: Bhushan, Shashi, Kumar, Anoop
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 04.05.2025; Taylor & Francis Ltd
• Subjects: Imputation; Missing data; Ranked set sampling; Simulation

In this paper, we intend to utilize the multi auxiliary information available under RSS for the imputation of missing data. The mean imputation, regression imputation methods, and power transformation imputation method are identified as special cases of the proposed imputation methods. These methods...