Improved exponential type ratio estimator of population variance
Authors
Yadav, Subhash Kumar
Kadilar, Cem
Director
Content type
Artículo de revista
Document language
EspañolPublication date
2013
Journal Title
Journal ISSN
Volume Title
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Abstract
This article considers the problem of estimating the population varianceusing auxiliary information. An improved version of Singh’s exponential typeratio estimator has been proposed and its properties have been studied underlarge sample approximation. It is shown that the proposed exponential typeratio estimator is more efficient than that considered by the Singh estimator,conventional ratio estimator and the usual unbiased estimator under somerealistic conditions. An empirical study has been carried out to judge themerits of the suggested estimator over others.