Estimation of Population mean using Exponential Dual to Ratio Type Compromised Imputation for Missing data in Survey Sampling

Authors

B. K. Singh, Department of Mathematics, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh - 791109, India
Upasana Gogoi

Author Country (or Countries)

India

Abstract

In this paper, we have proposed a class of exponential dual to ratio type compromised imputation technique and corresponding point estimator. Its mean square error expression is compared with the sample mean, ratio and compromised methods of imputation in the case of missing data. Further, numerical illustrations are provided with the help of some natural population data sets to compare their efficiencies for different non-response rate.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/060308

Recommended Citation

K. Singh, B. and Gogoi, Upasana (2017) "Estimation of Population mean using Exponential Dual to Ratio Type Compromised Imputation for Missing data in Survey Sampling," Journal of Statistics Applications & Probability: Vol. 6: Iss. 3, Article 8.
DOI: http://dx.doi.org/10.18576/jsap/060308
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol6/iss3/8