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Blue, able and simplified linear estimation of the selected order statistics from the logistic distribution

dc.contributor.authorWeke, Patrick G. O.
dc.contributor.authorOgutu, Carolyne A.
dc.contributor.authorOdweso, George M
dc.date.accessioned2017-03-28T07:52:04Z
dc.date.available2017-03-28T07:52:04Z
dc.date.issued2016
dc.identifier.citationWeke, Patrick GO, Carolyne A. Ogutu, and George Muhua Odweso. "BLUE, ABLE AND SIMPLIFIED LINEAR ESTIMATION OF THE SELECTED ORDER STATISTICS FROM THE LOGISTIC DISTRIBUTION." Far East Journal of Theoretical Statistics 52.3 (2016): 159.en_US
dc.identifier.urihttp://hdl.handle.net/11295/100739
dc.description.abstractSimplified linear estimation of the scale parameter of the logistic distribution based on the sum of consecutive order statistics is considered. The paper also discusses the best linear unbiased estimators (BLUEs) and asymptoti cally best linear estimators (ABLEs) based on k optimally selected order statistics from the logistic distribution. The proposed model is based on a pair of single spacing and the two binary digits as the weights and the bias, variance and relative efficiencies for sample sizes ( ) ( ) ∞ = , 85 5 40 1 5 n are computed.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.titleBlue, able and simplified linear estimation of the selected order statistics from the logistic distributionen_US
dc.typeArticleen_US


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