Zamanzade, Ehsan; Arghami, Nasser Reza; Vock, Michael (2014). A Parametric Test of Perfect Ranking in Balanced Ranked Set Sampling. Communications in statistics - theory and methods, 43(1), pp. 4589-4611. Marcel Dekker 10.1080/03610926.2012.737495
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A Parametric Test of Perfect Ranking_AM_DOI.pdf - Accepted Version Available under License Publisher holds Copyright. Download (248kB) | Preview |
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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science |
UniBE Contributor: |
Vock, Michael Peter |
Subjects: |
500 Science > 510 Mathematics |
ISSN: |
0361-0926 |
Publisher: |
Marcel Dekker |
Language: |
English |
Submitter: |
Michael Peter Vock |
Date Deposited: |
23 Oct 2014 17:09 |
Last Modified: |
05 Dec 2022 14:37 |
Publisher DOI: |
10.1080/03610926.2012.737495 |
Uncontrolled Keywords: |
Ranked set sampling, Test, Assumption of perfect ranking, Primary 62D05, Secondary 62F03 |
BORIS DOI: |
10.7892/boris.59445 |
URI: |
https://boris.unibe.ch/id/eprint/59445 |
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