Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process

Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process

In this thesis, the main objective is to study certain aspects of modeling failure time data of repairable systems under a competing risks framework. We consider two different models and propose more efficient Bayesian methods for estimating the parameters. In the first model, we discuss inferential...

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Bibliographic Details
Main Author: Almeida, Marco Pollo
Other Authors: Tomazella, Vera Lucia Damasceno
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2019
Subjects:
Bayesian inference
Competing risks
Inferência Bayesiana
Non-homogeneous Poisson process
Power-law process
Processo de lei de potência
Processo de Poisson não-homogêneo
Repairable system
Riscos competitivos
Sistema reparável
Online Access:http://www.teses.usp.br/teses/disponiveis/104/104131/tde-30092019-090126/

Internet

http://www.teses.usp.br/teses/disponiveis/104/104131/tde-30092019-090126/

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