Efficient Rotation Pattern in Two-Phase Sampling

DOI

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/).

Download article (PDF)

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  - 10.2991/jsta.2017.16.2.10
ID  - Bandyopadhyay2017
ER  -