Optimum test planning for heterogeneous inverse Gaussian processes

• Published in: Lifetime data analysis Vol. 28; no. 3; pp. 401 - 427
• Main Authors: Peng, Chien-Yu, Nagatsuka, Hideki, Cheng, Ya-Shan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2022; Springer Nature B.V
• Subjects: Economics; Finance; Fisher information; Gaussian process; Health Sciences; Insurance; Management; Mathematical models; Mathematics and Statistics; Medicine; Operations Research/Decision Theory; Planning; Quality Control; Reliability; Safety and Risk; Sensitivity analysis; Statistics; Statistics for Business; Statistics for Life Sciences; Within-subjects design; Random effects; Repeated measures; Conjugate distribution; Destructive degradation; Orthogonality

The heterogeneous inverse Gaussian (IG) process is one of the most popular and most considered degradation models for highly reliable products. One difficulty with heterogeneous IG processes is the lack of analytic expressions for the Fisher information matrix (FIM). Thus, it is a challenge to find...