Table 2 Results of DHGLM for crack growth data
From: Albatross analytics a hands-on into practice: statistical and data science application
Estimates from the mean model | ||||
|---|---|---|---|---|
| Â | Estimate | Std. error | t-value | p-value |
intercept | − 5.64457 | 0.00007 | − 429.0492 | 0.00000 |
crack | 2.40596 | 0.00005 | 238.59171 | 0.00000 |
| Â | Estimate | Std. error |
|---|---|---|
\(log\,(\lambda )\) | − 3.44556 | 0.00983 |
Estimates from the dispersion model | ||
|---|---|---|
| Â | Estimate | Std. error |
Intercept | − 3.01495 | 0.00735 |
Cycle | − 11.44552 | 0.07700 |
| Â | Estimate | Std. error |
|---|---|---|
\(log\,(\alpha )\) | − 0.40365 | 0.00229 |
Likelihood | ||||
|---|---|---|---|---|
− 2ML | − 2RL | cAIC | Scaled deviance | Df |
− 1910.493 | − 1602.520 | − 1620.783 | 215.58663 | 215.58663 |