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Estimation of Variance for Domain Total: A High Level Calibration Approach Cover

Estimation of Variance for Domain Total: A High Level Calibration Approach

By:   
Open Access
|Nov 2020

Abstract

Sample surveys are used to estimate interest about the population parameters. But, the objective of this study is to estimate about the sub-populations (termed domain). The proposed method is based on direct generalized calibration estimator for domain total using auxiliary character. The properties of the estimators also studied using simple random sampling process. It is also evaluate a class of estimators for domain total. A comparative study of the proposed estimator is given theoretically in the support of the problem. It was found that that the high level calibration approach better than the low level calibration approach with respect to (Sarndal et al. 1992, appendix B). A real data set is used to illustrate our methodology.
Language: English
Page range: 10 - 25
Published on: Nov 30, 2020
Published by: The Institute of Applied Statistics, Sri Lanka
In partnership with: Paradigm Publishing Services

© 2020 . Ashutosh, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons License.