Parametric Tests of Perfect Judgment Ranking Based on Ordered Ranked Set Samples

Autor:	Ehsan Zamanzade, Michael Vock
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	ordered ranked set samples perfect ranking test Statistics HA1-4737 Probabilities. Mathematical statistics QA273-280
Zdroj:	Revstat Statistical Journal, Vol 16, Iss 4 (2018)
Druh dokumentu:	article
ISSN:	1645-6726 2183-0371
DOI:	10.57805/revstat.v16i4.252
Popis:	We develop parametric and location-scale free tests of perfect judgment ranking based on ordered ranked set samples. The tests are based on the differences between the elements of the ordered ranked set samples and those of the original ranked set samples. We compare our proposed tests with the best existing tests of perfect judgment ranking in the literature by using Monte Carlo simulation. Our simulation results show that the proposed tests behave favorably in comparison with their leading competitors, especially under the fraction of neighbor rankings model. In comparison to the nonparametric competitors, the proposed tests have the advantage of not needing randomization to attain a specific size.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b925c348ad9f49f685f63c56eec7cbb5 Zobrazit plný text záznamu View record in DOAJ