Research Article
An Effective Bayesian Method for Probability Fatigue Crack Propagation Modeling through Test Data
Table 4
Posterior distribution of parameters
, , and
.
| Parameter | Mean | SD | MC-error (%) | Different percentile | 0.025 | 0.5 | 0.975 |
| | 0.846 | 0.086 | 0.061 | 0.675 | 0.846 | 1.017 | | 0.214 | 0.071 | 0.058 | 0.074 | 0.214 | 0.359 | | 0.070 | 0.043 | 0.034 | 0.026 | 0.06 | 0.177 | | -0.053 | 0.034 | 0.031 | -0.137 | -0.045 | -0.017 | | -0.053 | 0.034 | 0.031 | -0.137 | -0.045 | -0.017 | | 0.048 | 0.03 | 0.032 | 0.016 | 0.040 | 0.124 | | 0.033 | 0.004 | 0.005 | 0.027 | 0.032 | 0.041 |
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