Journal of Statistical Theory and Applications

Volume 13, Issue 4, December 2014, Pages 333 - 343

Estimation of Population Mean Using Known Correlation Coefficient And Median

Authors
J. Subramani, G. Kumarapandiyan
Corresponding Author
J. Subramani
Received 25 January 2013, Accepted 2 February 2014, Available Online 30 December 2014.
DOI
10.2991/jsta.2014.13.4.6How to use a DOI?
Keywords
Bias, Class, Mean squared error, Natural populations, Simple random sampling
Abstract

The present paper deals with the two modified ratio estimators for estimation of population mean of the study variable using the linear combination of the known population values of the Correlation Coefficient and the Median of the auxiliary variable. The biases and the mean squared errors of the proposed estimators are derived and are compared with that of existing modified ratio estimators for certain natural populations. Further we have also derived the conditions for which the proposed estimators perform better than the existing modified ratio estimators. From the empirical study it is also observed that the proposed modified ratio estimators perform better than the existing modified ratio estimators.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
13 - 4
Pages
333 - 343
Publication Date
2014/12/30
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2014.13.4.6How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - J. Subramani
AU  - G. Kumarapandiyan
PY  - 2014
DA  - 2014/12/30
TI  - Estimation of Population Mean Using Known Correlation Coefficient And Median
JO  - Journal of Statistical Theory and Applications
SP  - 333
EP  - 343
VL  - 13
IS  - 4
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2014.13.4.6
DO  - 10.2991/jsta.2014.13.4.6
ID  - Subramani2014
ER  -