A Parametric Test of Perfect Ranking in Balanced Ranked Set Sampling


Autoria(s): Zamanzade, Ehsan; Arghami, Nasser Reza; Vock, Michael
Data(s)

17/10/2014

Resumo

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.

Formato

application/pdf

Identificador

http://boris.unibe.ch/59445/1/A%20Parametric%20Test%20of%20Perfect%20Ranking_AM_DOI.pdf

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 <http://dx.doi.org/10.1080/03610926.2012.737495>

doi:10.7892/boris.59445

info:doi:10.1080/03610926.2012.737495

urn:issn:0361-0926

Idioma(s)

eng

Publicador

Marcel Dekker

Relação

http://boris.unibe.ch/59445/

Direitos

info:eu-repo/semantics/openAccess

Fonte

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 <http://dx.doi.org/10.1080/03610926.2012.737495>

Palavras-Chave #510 Mathematics
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed