Generalized Class of Exponential Chain Ratio-cum-Chain Product Type Estimator for Finite Population Mean under Double Sampling Scheme in Presence of Non-Response
Keywords:
exponential, chain, estimator, mean, bias, mean square error
Abstract
In this paper, a generalized class of exponential chain ratio-cum-chain product type estimator has been developed for estimating finite population mean and its properties have been studied in presence of non-response. The expressions for the bias and mean square error of the proposed estimator have been obtained in two different cases of non-response. The theoretical and empirical studies have been given to demonstrate the efficiency of the proposed estimator with respect to the other relevant estimators under consideration.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2015-05-15
Issue
Section
License
Copyright (c) 2015 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.