Ratio exponential type estimators with imputation for missing data in sample surveys

Article type: Research Article

Authors: Prasad, Shakti

Affiliations: Department of Basic and Applied Science, National Institute of Technology, Arunachal Pradesh, Yupia, Papumpare 791112, India | E-mail: shakti.pd@gmail.com

Abstract: Twenty exponential type estimators with imputation have been suggested to overcome the problem of missing data for a study variable in sample surveys. It has been shown that the suggested estimators are more efficient than the mean method of imputation, ratio method of imputation, regression method of imputation and the estimators are given by Singh and Horn (2000), Singh and Deo (2003), Singh (2009), Gira (2015) and Singh et al. (2016). The biases and their mean square errors of the suggested estimators are derived. Simulation studies are also demonstrated for comparing the performances of the suggested estimators.

Keywords: Imputation methods, missing data, bias, mean square error (MSE), percent relative efficiency2000 AMS Classification: 62D05

DOI: 10.3233/MAS-170386

Journal: Model Assisted Statistics and Applications, vol. 12, no. 2, pp. 95-106, 2017