Generalized Class of Estimators for Mean of Population through Imputation Technique Using SRSWOR

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Authors: Shivani Kumari, Kamlesh Kumar
Cited by: 1

Abstract

In the current study, we have developed two generalized classes of estimators for estimating the mean of population based on imputation technique under simple random sampling without replacement (SRSWOR), and their statistical properties have been derived. Traditional imputation techniques such as mean and ratio methods have been found to be the particular cases of the developed imputation techniques. Also, some estimators discussed in the literature have been found as the members of the developed generalized class of estimators. Developed estimators outperform under the given mathematical conditions. It is then verified with the help of empirical study using two authentic datasets.

Fields of Study & Subjects

Survey Sampling and Estimation Techniques Statistical Distribution Estimation and Applications Advanced Statistical Methods and Models

Publication details

Journal / source
Asian Journal of Probability and Statistics
Publisher
Sciencedomain International
Volume
28
Issue
2
Pages
102–112
Publication date
24 February 2026
Language
EN