Misspecification Analysis of Gamma with Inverse Gaussian Degradation Processes

DOI10.1007/978-981-10-5194-4_10zbMath1402.62358OpenAlexW2751860618MaRDI QIDQ4559452

Yu-Cheng Yao, Sheng-Tsaing Tseng

Publication date: 3 December 2018

Published in: Statistical Modeling for Degradation Data (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-10-5194-4_10

zbMATH Keywords

gamma processinverse Gaussian processquasi maximum likelihood estimatedegradation modelmisspecification analysislifetime information

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Reliability and life testing (62N05)

Related Items (1)

Unbiased parameters estimation and mis-specification analysis of Wiener process-based degradation model with random effects

Uses Software

• SPLIDA

Cites Work

• Unnamed Item
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• Survival in dynamic environments
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• Gaussian models for degradation processes. I: Methods for the analysis of biomarker data
• Accelerated Life Models
• Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model
• Accelerated Testing
• Determination of burn-in parameters and residual life for highly reliable products
• Designing a screening experiment for highly reliable products
• Maximum Likelihood Estimation of Misspecified Models
• Estimation in degradation models with explanatory variables

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