Work

Estimasi Parameter Dari Distribusi Lomax Menggunakan Metode Bayesian Entropy Loss Fuction

Year: 2024

Type: article

Abstract: The purpose of this research is estimating shape parameter (θ) of Lomax distribution with known shape parameter (β). Estimating parameter of Lomax Distribution using Bayesian Entropy Loss Function method with Gamma prior as conjugate prior of parameter (θ). The data used in this research is generated data which is obtained from R-Studio. Estimating parameter with Bayesian Entropy Loss Function Method from Lomax distribution with used shape parameter (θ=1) is and estimating parameter with Bayesian Entropy Loss Function Method from Lomax distribution with used shape parameter (θ=1,5) is . Estimating shape parameter (θ) will be evaluated used AIC, AICc, and BIC method

Source: Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan Statistika

DOI: 10.46306/lb.v5i3.596

Authors: Ridha Fadhila Sani, Ferra Yanuar, Dodi Devianto

Institution: Andalas University

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $16

OpenAlex ID: W4405959284

FWCI:

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