Journal of Statistical Theory and Applications

Volume 16, Issue 2, June 2017, Pages 261 - 268

Efficient Rotation Pattern in Two-Phase Sampling

Authors
A. Bandyopadhyay, G.N. Singh
Corresponding Author
A. Bandyopadhyay
Received 12 September 2015, Accepted 17 May 2016, Available Online 1 June 2017.
DOI
https://doi.org/10.2991/jsta.2017.16.2.10How to use a DOI?
Keywords
Two-phase; Successive sampling; Auxiliary variables; Chain-type; Exponential; Regression; Bias; Mean square error; Optimum replacement policy.
Abstract

The present investigation is an attempt to estimate the population mean on current occasion in two-phase successive (rotation) sampling over two occasions. Utilizing information on two auxiliary variables one chain-type estimator has been proposed to estimate the population mean on the current occasion. Properties of the proposed estimator have been studied and its optimum replacement strategy is discussed. The proposed estimator has been compared with sample mean estimator when there is no matching and the natural optimum estimator, which is a linear combination of the means of the matched and unmatched portions of the sample on the current occasion. Results are demonstrated through empirical studies which are followed by suitable recommendations.

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 - 2
Pages
261 - 268
Publication Date
2017/06/01
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
https://doi.org/10.2991/jsta.2017.16.2.10How 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  - A. Bandyopadhyay
AU  - G.N. Singh
PY  - 2017
DA  - 2017/06/01
TI  - Efficient Rotation Pattern in Two-Phase Sampling
JO  - Journal of Statistical Theory and Applications
SP  - 261
EP  - 268
VL  - 16
IS  - 2
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2017.16.2.10
DO  - https://doi.org/10.2991/jsta.2017.16.2.10
ID  - Bandyopadhyay2017
ER  -