Journal of Statistical Theory and Applications

Volume 16, Issue 1, March 2017, Pages 26 - 37

An Efficient Estimation Procedure in Two-Occasion Successive Sampling

Authors
G.N. Singh, A.K. Singh
Corresponding Author
G.N. Singh
Received 11 November 2015, Accepted 5 July 2016, Available Online 1 March 2017.
DOI
10.2991/jsta.2017.16.1.3How to use a DOI?
Keywords
Successive sampling, auxiliary information, bias, mean square error, optimum replacement strategy.
Abstract

In this paper an efficient estimation procedure to estimate the current population mean in two-occasion successive sampling has been developed. An exponential regression type estimator of current population mean is proposed and corresponding optimum replacement strategy has been suggested. The superiority of the proposed estimator is empirically established over sample mean estimator and natural successive sampling estimator. Results are interpreted and suitable recommendations have been made.

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
16 - 1
Pages
26 - 37
Publication Date
2017/03/01
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2017.16.1.3How 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  - G.N. Singh
AU  - A.K. Singh
PY  - 2017
DA  - 2017/03/01
TI  - An Efficient Estimation Procedure in Two-Occasion Successive Sampling
JO  - Journal of Statistical Theory and Applications
SP  - 26
EP  - 37
VL  - 16
IS  - 1
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2017.16.1.3
DO  - 10.2991/jsta.2017.16.1.3
ID  - Singh2017
ER  -