Practicality of Some Variations of Ranked Set Sampling

Samuh, Monjed H.; Omar, M. Hafidz; Hossain, M. Pear

dc.contributor.author	Samuh, Monjed H.
dc.contributor.author	Omar, M. Hafidz
dc.contributor.author	Hossain, M. Pear
dc.date.accessioned	2020-11-25T08:05:39Z
dc.date.accessioned	2022-05-22T08:52:30Z
dc.date.available	2020-11-25T08:05:39Z
dc.date.available	2022-05-22T08:52:30Z
dc.date.issued	2020-02-20
dc.identifier.citation	Samuh, M. H., Omar, M. H., & Hossain, M. P. (2020). Practicality of Some Variations of Ranked Set Sampling. Austrian Journal of Statistics, 49(1), 60-66. https://doi.org/10.17713/ajs.v49i1.908	en_US
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/8116
dc.description.abstract	Judgement ranking in ranked set sampling (RSS) and its variations depends on the ability of an observer to rank a set of objects according to the study variable without doing any actual measurement. In practice, and in some variations of RSS, it is hard to assign these ranks. In this paper, we discuss the practicality of ranking some extensions of RSS such as median RSS, double median RSS, and double RSS. The Hellinger distance is used as a measure of practicality. Although double median RSS is the most efficient approach among the RSS variations considered, it is shown in this paper that it is the least practical.	en_US
dc.language.iso	en	en_US
dc.publisher	Austrian Journal of Statistics	en_US
dc.subject	efficiency, Hellinger distance, median, practicality, ranked set sampling.	en_US
dc.title	Practicality of Some Variations of Ranked Set Sampling	en_US
dc.type	Article	en_US