Degradation modeling of 2 fatigue-crack growth characteristics based on inverse Gaussian processes: a case study
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Publication:6574575
DOI10.1002/asmb.2329MaRDI QIDQ6574575
Anna Patricia Rodríguez-Picón, Alejandro Alvarado-Iniesta, Luis Alberto Rodríguez-Picón
Publication date: 18 July 2024
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Cites Work
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- Goodness-of-fit tests for copulas: A review and a power study
- Covariates and random effects in a Gamma process model with application to degradation and failure
- An introduction to copulas.
- Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
- Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
- Inference from iterative simulation using multiple sequences
- Reliability modeling for systems with multiple degradation processes using inverse Gaussian process and copulas
- On the relationship between Spearman's rho and Kendall's tau for pairs of continuous random variables
- Reliability modeling of systems with two dependent degrading components based on gamma processes
- Sampling-Based Approaches to Calculating Marginal Densities
- Bayesian Modeling Using WinBUGS
- Using Degradation Measures to Estimate a Time-to-Failure Distribution
- Bivariate degradation analysis of products based on Wiener processes and copulas
- Estimation in degradation models with explanatory variables
- A new look at the statistical model identification
- Stochastic modelling and analysis of degradation for highly reliable products
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