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- Title
EFFICIENT HIERARCHIC PREDICTIVE PRODUCT ESTIMATOR USING HARMONIC MEAN.
- Authors
Panda, K. B.; Das, P.; Sen, M.
- Abstract
We have, along the lines of Agrawal and Sthapit (1997) followed by Panda and Sahoo (2015), proposed a product estimator of order k, employing the product estimator due to Agrawal and Jain (1989) as potential predictor of the nonsurveyed part of the population under the predictive approach. The newly proposed estimator, besides being predictive in form, is found to perform better than the customary product estimator using harmonic mean and the simple random sample mean under conditions that are satisfied in various real-life situations. Moreover, the proposed estimator of order k, when k is optimally chosen, fares better than its competitors unconditionally. It is also found to be less biased. The efficacy of the proposed estimator has been illustrated through two numerical examples using real population data.
- Subjects
ESTIMATION theory; HARMONIC analysis (Mathematics); SAMPLING errors; MATHEMATICAL models; NUMERICAL analysis
- Publication
International Journal of Agricultural & Statistical Sciences, 2018, Vol 14, Issue 2, p717
- ISSN
0973-1903
- Publication type
Article