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TAKSIRAN PARAMETER DISTRIBUSI WEIBULL DENGAN MENGGUNAKAN METODE MOMEN DAN METODE MAKSIMUM LIKELIHOOD

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dc.contributor.author Kristin, Eka Meri
dc.contributor.author Adnan, Arisman
dc.contributor.author Sugiarto, Sigit
dc.date.accessioned 2013-03-25T08:04:49Z
dc.date.available 2013-03-25T08:04:49Z
dc.date.issued 2013-03-25
dc.identifier.other Rangga Dwijunanda Putra
dc.identifier.uri http://repository.unri.ac.id:80/handle/123456789/2683
dc.description.abstract In this paper, the methods of moment and maximum likelihood for estimating parameters of the Weibull distribution that proposed by Razali, et al [4] have been reviewed. Since the estimator of parameters are biased then Mean Square Error are used for comparing these two estimators. Simulation has been conducted using fix sample sizes, several scale and shape parameter. Our study support Razali’s result that the methods of moment is more efficient than methods of maximum likelihood en_US
dc.description.provenance Submitted by Rangga Dwijunanda Putra (rangga.madridista@gmail.com) on 2013-03-25T08:04:49Z No. of bitstreams: 1 Karya Ilmiah Eka Meri 25 02 2013.pdf: 378447 bytes, checksum: 0e321d2d84a9e6ef704d0c304fe9f1fa (MD5) en
dc.description.provenance Made available in DSpace on 2013-03-25T08:04:49Z (GMT). No. of bitstreams: 1 Karya Ilmiah Eka Meri 25 02 2013.pdf: 378447 bytes, checksum: 0e321d2d84a9e6ef704d0c304fe9f1fa (MD5) en
dc.description.sponsorship Adnan, Arisman, Sugiarto, Sigit en_US
dc.language.iso other en_US
dc.subject Weibull Distribution en_US
dc.subject methods of moment en_US
dc.subject methods of maximum likelihood en_US
dc.title TAKSIRAN PARAMETER DISTRIBUSI WEIBULL DENGAN MENGGUNAKAN METODE MOMEN DAN METODE MAKSIMUM LIKELIHOOD en_US
dc.type Other en_US


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