On the Use of Multiple Auxiliary Variables in Estimation of Current Population Mean in Two-Occasion Successive (Rotation) Sampling
Abstract
The present work emphasizes the role of several stable auxiliary variables at both the occasions to improve the precision of estimates at current occasion in two-occasion successive sampling. A chain-type multiple linear regressions in ratio estimator has been proposed and its theoretical properties are examined. Relative comparison of efficiencies of the proposed estimator with the sample mean estimator, when there is no matching from the previous occasion and the natural successive sampling estimator, when no auxiliary information is used have been made. Theoretical results have been well supported with empirical illustrations.
DOI: http://dx.doi.org/10.4038/sljastats.v12i0.4970
Sri Lankan Journal of Applied Statistics Vol.12 2011 pp.101-116
© 2012 GN Singh, JP Karna, S Prasad, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons License.