A random-effect Wiener process degradation model with transmuted normal distribution and ABC-Gibbs algorithm for parameter estimation.
Isyaku MuhammadTangfan XiahouYu LiuMustapha MuhammadPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- parameter estimation
- em algorithm
- expectation maximization
- normal distribution
- markov random field
- maximum likelihood estimation
- parameter estimation algorithm
- model fitting
- statistical models
- probabilistic model
- least squares
- parameter values
- maximum likelihood
- parameters estimation
- gibbs sampling
- markov chain monte carlo
- model selection
- random fields
- similarity measure
- objective function
- probability density function
- parameter estimates
- worst case
- k means
- maximum likelihood estimates
- standard deviation
- approximate inference
- posterior distribution
- bayesian framework
- energy function
- mixture model
- probability distribution
- feature vectors
- video sequences
- statistical methods
- graphical models