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All Journal Desimal: Jurnal Matematika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Saintek Lahan Kering Jurnal Varian JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Bakti Cendana: Jurnal Pengabdian Masyarakat Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Jurnal Diferensial Prosiding Konferensi Nasional PKM-CSR VARIANSI: Journal of Statistics and Its Application on Teaching and Research Mathematical Journal of Modelling and Forecasting Journal of Mathematics Theory and Applications
Mada, Grandianus Seda
Program Studi Matematika, Fakultas Pertanian, Universitas Timor
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Journal : Mathematical Journal of Modelling and Forecasting

 1 
The Comparison of Parameter Estimation in Exponential Distribution using Maximum Likelihood Method and Bayesian Method Grandianus Mada; Cecilia Noviyanti Salsinha; Beatrix Farena Mun
Mathematical Journal of Modelling and Forecasting Vol. 1 No. 1 (2023): June 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v1i1.2

Abstract

This study aims to compare the parameter estimation process on the exponential distribution using the maximum likelihood method and the Bayesian method on service data at Bank BRI Atambua Branch. The result of processing data on 100 service time data obtained parameter values for the maximum likelihood method = 0,050942 and the Bayesian = 1,0008. By using the Akaike Information Criterion (AIC) feasibility test for these parameters, the AIC value for the maximum likelihood method was 797,4122 and the AIC value for the Bayesian method was 3.931,1002 so it can be concluded that the maximum likelihood method is better used to estimate parameters than Bayesian method.
Co-Authors Alfonsus Liquria Loin Aloisius Loka Son Andika Ellena Saufika Hakim Maharani Arkianti, Maria Maxmilla Yoche Azor Yulianus Tefa Bano, Elinora Naikteas Beatrix Farena Mun Benu, Didi Prasetyo Cecilia Novianti Salsinha Desriyani Yulianita Br. Kolo Teti Dethan, Nugraha K.F. Dira Asri Pramita Ernestina Lalian Estevania Daonce Mau Eva Binsasi Faustianus Luan Fried Markus Allung Blegur Hanas, Dicky Frengky Hendrika Yeni Meti Kristina Sri Ayu Bere Lidya, Christie Lukas Pardosi Maria Julieta Esperanca Naibili Matius Stefanus Batu Nabu, Andreas Giovani Nugraha K. F. Dethan Nugraha K. F. Dethan Obe, Leonardus Frengky Oktovianus R. Sikas Pramusita, Santa Maya Sansela Neonbeni Santos, Adriano Dos Siahaan, Desta Gloria Sikas, Oktovianus R. Siprianus Septian Manek SITUMORANG, KOMILIE Tahulending, Peggy Tea, Marselina Theresia Djue Wasim Raza Welsiliana Welsiliana Yakoba Yusina Muanley Yohana Noviayanti Da Silva Toti Yoseph Pius Kurniawan Kelen