Bayesian analysis for inverse gaussian lifetime data with measures of degradation
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Publication:4262899
DOI10.1080/00949659908811954zbMath0939.62026OpenAlexW1982077216MaRDI QIDQ4262899
Karen D. S. Young, Lawrence I. Pettit
Publication date: 3 July 2000
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949659908811954
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Uses Software
Cites Work
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- Estimating degradation by a Wiener diffusion process subject to measurement error
- A regression method for censored inverse-Gaussian data
- Sampling-Based Approaches to Calculating Marginal Densities
- Generating Random Variates Using Transformations with Multiple Roots
- The Inverse Gaussian Distribution as a Lifetime Model
- Using Degradation Measures to Estimate a Time-to-Failure Distribution
- A Statistical Approach to a Deterioration Process in Reinforced Concrete
- Adaptive Rejection Sampling for Gibbs Sampling
- Bayes computation for life testing and reliability estimation