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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
  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
  Estimate Std. error
\(log\,(\lambda )\) − 3.44556 0.00983
Estimates from the dispersion model
  Estimate Std. error
Intercept − 3.01495 0.00735
Cycle − 11.44552 0.07700
  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