The random deterioration rate model with measurement error based on the inverse Gaussian distribution

DOI10.1214/20-BJPS468zbMath1476.62267MaRDI QIDQ2233651

Francisco Louzada, Pedro L. Ramos, Paulo H. Ferreira, Lia Hanna Martins Morita, Vera Lucia Tomazella

Publication date: 11 October 2021

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

zbMATH Keywords

inverse Gaussian distributiondegradation analysisLASER datalocomotive wheels datarandom deterioration rate

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics in engineering and industry; control charts (62P30)

Uses Software

• R
• QUADPACK
• Ox
• BayesGESM
• SPLIDA

Cites Work

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• BayesGESM
• Unified uncertainty analysis by the mean value first order saddlepoint approximation
• Tests of fit for inverse Gaussian distributions
• Estimating the dimension of a model
• Bayesian analysis of flexible measurement error models
• On the Effect of the Number of Quadrature Points in a Logistic Random Effects Model: An Example
• Model Selection and Multimodel Inference
• Using Degradation Measures to Estimate a Time-to-Failure Distribution
• Errors-in-variables beta regression models
• The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
• A Test of Goodness of Fit

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