Abstract
In this article, we have considered the problem of estimation of population variance on current (second) occasion in two occasion successive (rotation) sampling. A class of estimators of population variance has been proposed and its asymptotic properties have been discussed. The proposed class of estimators is compared with the sample variance estimator when there is no matching from the previous occasion and the Singh et al. (2013) estimator. Optimum replacement policy is discussed. It has been shown that the suggested estimator is more efficient than the Singh et al. (2013) estimator and a usual unbiased estimator when there is no matching. An empirical study is carried out in support of the present study.
Original language | English (US) |
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Pages (from-to) | 4106-4116 |
Number of pages | 11 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 45 |
Issue number | 14 |
DOIs | |
State | Published - Jul 17 2016 |
Bibliographical note
Publisher Copyright:© 2016, © Taylor & Francis Group, LLC.
Keywords
- Bias
- Mean square error
- Optimum replacement policy
- Successive (rotation) sampling
- Variance estimation