Bayesian Inference for the Parameters of Kumaraswamy Distribution via Ranked Set Sampling

Bayesian Inference for the Parameters of Kumaraswamy Distribution via Ranked Set Sampling

In this paper, we address the estimation of the parameters for a two-parameter Kumaraswamy distribution by using the maximum likelihood and Bayesian methods based on simple random sampling, ranked set sampling, and maximum ranked set sampling with unequal samples. The Bayes loss functions used are s...

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Bibliographic Details
Main Authors: Huanmin Jiang, Wenhao Gui
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Symmetry
Subjects:
ranked set sampling
Kumaraswamy distribution
maximum likelihood estimation
Bayes estimation
Metropolis-Hastings-within-Gibbs algorithm
Online Access:https://www.mdpi.com/2073-8994/13/7/1170

Internet

https://www.mdpi.com/2073-8994/13/7/1170

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