PENAKSIR PARAMETER DISTRIBUSI INVERS MAXWELL UKURAN BIAS SAMPEL MENGGUNAKAN METODE BAYESIAN

Adrianti, Rince; Sirait, Haposan

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dc.contributor.author	Adrianti, Rince
dc.contributor.author	Sirait, Haposan
dc.date.accessioned	2017-01-10T08:51:51Z
dc.date.available	2017-01-10T08:51:51Z
dc.date.issued	2017-01-10
dc.identifier.uri	http://repository.unri.ac.id/xmlui/handle/123456789/8904
dc.description.abstract	This article discusses the estimator for parameter of inverse Maxwell distribution via size-biased sampling by Bayes method, this is a review of Singh dan Srivastava [International Journal of Science and Research, 3 (2014), 1835–1839]. The process of Bayes inference starts under squared error loss function and entropy loss function, by using quasi prior. The performance of the obtained estimator from Bayes method with two different loss function are then compared among themselves by computing mean square error (MSE) of each estimator.	en_US
dc.description.provenance	Submitted by Rangga Dwijunanda Putra (rangga.madridista@gmail.com) on 2017-01-10T08:51:51Z No. of bitstreams: 1 Rince Adrianti (1203113502).pdf: 62808 bytes, checksum: 2b7e4b6610caa5eabb5ec939f040b3b8 (MD5)	en
dc.description.provenance	Made available in DSpace on 2017-01-10T08:51:51Z (GMT). No. of bitstreams: 1 Rince Adrianti (1203113502).pdf: 62808 bytes, checksum: 2b7e4b6610caa5eabb5ec939f040b3b8 (MD5)	en
dc.description.sponsorship	Sirait, Haposan	en_US
dc.language.iso	other	en_US
dc.subject	Bayes method	en_US
dc.subject	quasi prior	en_US
dc.subject	squared error loss function	en_US
dc.subject	entropy loss function	en_US
dc.subject	mean square error	en_US
dc.title	PENAKSIR PARAMETER DISTRIBUSI INVERS MAXWELL UKURAN BIAS SAMPEL MENGGUNAKAN METODE BAYESIAN	en_US
dc.type	student Paper Post Degree	en_US