Siginificance Test Based on Log-Logistic Distribution

dc.contributor.author	Kantam, R. R. L.
dc.contributor.author	SriRam, B.
dc.contributor.author	Suhasini, A.
dc.date.accessioned	2018-08-01T05:34:59Z
dc.date.available	2018-08-01T05:34:59Z
dc.date.issued	2015
dc.identifier.issn	2384-4795
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/2019
dc.description.abstract	This paper deals with the log-logistic distribution (β = 3) as a life time model. Moments of order statistics and an ordered sample are used to define a test statistic for the null hypothesis that the considered random variable has log-logistic distribution (β = 3). The percentiles of the test statistic are evaluated, Power’s of the test with half-logistic distribution and Rayleigh distribution as alternatives are also evaluated.	en_US
dc.language.iso	en	en_US
dc.publisher	University of Bahrain	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	Testing
dc.subject	Likelihood ratio criterion
dc.subject	Moments
dc.subject	Order statistics
dc.subject	Power of test
dc.title	Siginificance Test Based on Log-Logistic Distribution	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/IJCTS/020204
dc.volume	02
dc.issue	02
dc.source.title	International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle	IJCTS