Empirical likelihood intervals for the population mean and quantiles based on balanced ranked set samples

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Empirical likelihood intervals for the population mean and quantiles based on balanced ranked set samples

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dc.contributor.author Baklizi, A.
dc.date.accessioned 2009-12-27T05:43:00Z
dc.date.available 2009-12-27T05:43:00Z
dc.date.issued 2008-05-07
dc.identifier.citation Volume 18, Number 4 / November, 2009 en_US
dc.identifier.issn 1618-2510 (Print)
dc.identifier.issn 1613-981X (Online)
dc.identifier.uri http://dx.doi.org/10.1007/s10260-008-0105-9
dc.identifier.uri http://hdl.handle.net/10576/10458
dc.description.abstract We consider nonparametric interval estimation for the population mean and quantiles based on a ranked set sample. The asymptotic distributions of the empirical log likelihood ratio statistic for the mean and quantiles are derived. Interval estimates of the population mean and quantiles are obtained by inverting the likelihood ratio statistic. Simulations are carried out to investigate and compare the performance of the empirical likelihood intervals with other known intervals en_US
dc.language.iso en en_US
dc.publisher Physica Verlag, An Imprint of Springer-Verlag GmbH en_US
dc.subject Ranked set sample en_US
dc.subject Empirical likelihood en_US
dc.subject Mean en_US
dc.subject Quantiles en_US
dc.subject Interval estimation en_US
dc.title Empirical likelihood intervals for the population mean and quantiles based on balanced ranked set samples en_US
dc.type Article en_US

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