When the scale σ (or Weibull shape β), the intercept (β0), and the slope are specified (β1), the standardized intercept is calculated as follows:
The standardized slope is calculated as follows:
Term | Description |
---|---|
σ | specified value for the scale |
β | specified value for the Weibull shape |
specified value for the intercept | |
β1 | specified value for the slope |
γ0 | standardized intercept |
γ1 | standardized slope |
Term | Description |
---|---|
σ | specified planning value for the scale |
β | specified planning value for the Weibull shape |
β0 | intercept |
β1 | specified planning value of the slope |
t | specified planning value of a percentile |
Φ-1(p) | inverse CDF of the chosen distribution |
p | proportion of failures at stress level x |
x | stress level |
for location-scale models (normal, logistic and smallest extreme value)
for log-location-scale models (Weibull, exponential, lognormal and loglogistic)
Term | Description |
---|---|
σ | specified planning value for the scale |
β | specified planning value for the Weibull shape |
β0 | specified planning value of the intercept |
β1 | slope |
t | specified planning value of a percentile |
Φ-1(p) | inverse CDF of the chosen distribution |
p | proportion of failures at stress level x |
x | stress level |
Term | Description |
---|---|
σ | specified planning value for the scale |
β | specified planning value for the Weibull shape |
β0 | intercept |
β1 | slope |
t1 | specified planning value for a percentile |
t2 | specified planning value for a percentile |
Φ-1(p) | standard inverse cdf of the chosen distribution |
p1 | proportion of failures at stress level x1 |
p2 | proportion of failures at stress level x2 |
x1 | stress level |
x2 | stress level |