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TAKSIRAN PARAMETER DISTRIBUSI WEIBULL DENGAN MENGGUNAKAN METODE MOMEN DAN METODE KUADRAT TERKECIL

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dc.contributor.author Fanila, Hesty
dc.contributor.author Adnan, Arisman
dc.contributor.author Bustami
dc.date.accessioned 2013-03-26T01:49:14Z
dc.date.available 2013-03-26T01:49:14Z
dc.date.issued 2013-03-26
dc.identifier.other Rangga Dwijunanda Putra
dc.identifier.uri http://repository.unri.ac.id:80/handle/123456789/2686
dc.description.abstract The methods of moments and least square for estimating parameters of the Weibull distribution that proposed by Razali, et al [6] have been reviewed. Since the estimator of parameters are biased then Mean Square Error for comparing these two estimators was used. Simulation has been conducted using several sample sizes and different parameters. Our study support Razali’s result that the method of moments is more efficient than that least square method en_US
dc.description.provenance Submitted by Rangga Dwijunanda Putra (rangga.madridista@gmail.com) on 2013-03-26T01:49:14Z No. of bitstreams: 1 karya ilmiah hesty fanila.pdf: 464963 bytes, checksum: 99e6207867b405142664d1df6acff573 (MD5) en
dc.description.provenance Made available in DSpace on 2013-03-26T01:49:14Z (GMT). No. of bitstreams: 1 karya ilmiah hesty fanila.pdf: 464963 bytes, checksum: 99e6207867b405142664d1df6acff573 (MD5) en
dc.description.sponsorship Adnan, Arisman, Bustami en_US
dc.language.iso other en_US
dc.subject Weibull Distribution en_US
dc.subject Moments method en_US
dc.subject Least Square method en_US
dc.title TAKSIRAN PARAMETER DISTRIBUSI WEIBULL DENGAN MENGGUNAKAN METODE MOMEN DAN METODE KUADRAT TERKECIL en_US
dc.type Other en_US


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