A Parametric Test of Perfect Ranking in Balanced Ranked Set Sampling

Ehsan Zamanzade, Nasser Reza Arghami and Michael Vock

Communications in Statistics - Theory and Methods, 2014, vol. 43, issue 21, 4589-4611

Abstract: Many techniques based on data which are drawn by Ranked Set Sampling (RSS) scheme assume that the ranking of observations is perfect. Therefore it is essential to develop some methods for testing this assumption. In this article, we propose a parametric location-scale free test for assessing the assumption of perfect ranking. The results of a simulation study in two special cases of normal and exponential distributions indicate that the proposed test performs well in comparison with its leading competitors.

Date: 2014
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Citations: View citations in EconPapers (4)

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DOI: 10.1080/03610926.2012.737495

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