Among them, the lognormal, Weibull, and extreme value are the most commonly used distributions to model reliability data (Lawless 2003).
A high correlation coefficient that is closer to 1 signified the neural network modeling reliability with the experimental data.
For modellers, stakeholder acceptance of a model usually hinges on data accuracy, model reliability, and problem uncertainty.
What is the relationship between prediction performance and model interpretation, specifically model reliability?
Model reliability is tested by comparison with experimental data.
New error metrics increase the overall model reliability.
Lawler, J. J., White, D., Neilson, R. P. & Blaustein, A. R. Predicting climate-induced range shifts: Model differences and model reliability.
Model reliability in the estimation of the parameters is established through a sensitivity analysis.
This review highlights the variability found when reporting biomechanical model parameters, methodological design, and model reliability.
This paper models reliability of BSNs subject to probabilistic competing failures.
