Parameter Estimation for Composite Dynamical Systems Based on Sequential Order Statistics from Burr Type XII Mixture Distribution

Parameter Estimation for Composite Dynamical Systems Based on Sequential Order Statistics from Burr Type XII Mixture Distribution

Considering the impact of the heterogeneous conditions of the mixture baseline distribution on the parameter estimation of a composite dynamical system (CDS), we propose an approach to infer the model parameters and baseline survival function of CDS using the maximum likelihood estimation and Bayesi...

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Bibliographic Details
Main Authors: Tzong-Ru Tsai, Yuhlong Lio, Hua Xin, Hoang Pham
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
composite dynamical systems
hazard rate
Markov chain Monte Carlo
mixture distribution
sequential order statistics
Online Access:https://www.mdpi.com/2227-7390/9/8/810

Internet

https://www.mdpi.com/2227-7390/9/8/810

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