PENAKSIR BAYES UNTUK PARAMETER DISTRIBUSI DAGUM MENGGUNAKAN ATURAN PRIOR NON-INFORMATIF DENGAN K-LOSS FUNCTION DAN ENTROPY LOSS FUNCTION

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dc.contributor.authorSari, Asti Ralita
dc.contributor.supervisorSirait, Haposan
dc.date.accessioned2021-10-21T02:11:22Z
dc.date.available2021-10-21T02:11:22Z
dc.date.issued2021-04
dc.description.abstractThe parameter estimator discussed is the parameter estimator of the Dagum distribution with the k-loss function and the entropy loss function using the Bayes method. To get the Bayes estimator from the scale parameter of the Dagum distribution, the Jeffrey’s non-informative prior distribution is used based on the maximum likelihood function and the loss function for the k-loss function and the entropy loss function to obtain an efficient estimator. Determinant of the best estimator is done by comparing the variance values generated from each estimator. An estimator that uses the entropy loss function is the best method for estimating the parameters of the Dagum distribution of the data population with efficient conditions met.en_US
dc.description.sponsorshipJurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10291
dc.language.isoenen_US
dc.subjectParameter estimatoren_US
dc.subjectDagum distributionen_US
dc.subjectBayes methoden_US
dc.subjectJeffrey’s prioren_US
dc.subjectloss functionen_US
dc.titlePENAKSIR BAYES UNTUK PARAMETER DISTRIBUSI DAGUM MENGGUNAKAN ATURAN PRIOR NON-INFORMATIF DENGAN K-LOSS FUNCTION DAN ENTROPY LOSS FUNCTIONen_US
dc.typeArticleen_US

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