Bayesian analysis of 3-components Kumaraswamy mixture model: Quadrature method vs. Importance sampling

Bayesian analysis of 3-components Kumaraswamy mixture model: Quadrature method vs. Importance sampling

This paper presents the Bayesian inference of the 3-component Kumaraswamy mixture distribution. The paper formulates the 3-component model, provides Bayesian estimates and their respective posterior risks assuming non-informative prior under type-I censoring. Since the Bayes estimates are not in clo...

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Bibliographic Details
Main Authors: Maryam Khalid, Muhammad Aslam, Tabassum Naz Sindhu
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Alexandria Engineering Journal
Subjects:
3-Component mixture distribution
Importance sampling
Non-informative prior
Loss function
Test termination time
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820302325

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http://www.sciencedirect.com/science/article/pii/S1110016820302325

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