Confidence intervals are computed for all model parameters and are reported in the "Analysis of Parameter Estimates" table.
The confidence coefficient can be specified with the ALPHA= MODEL statement option, resulting in a
two-sided confidence coefficient. The default confidence coefficient is 95%, corresponding to
.
A two-sided confidence interval
for the regression parameter
is based on the asymptotic normality of the maximum likelihood estimator
and is computed by
where is the estimated standard error of
, and
is the
percentile of the standard normal distribution.
A two-sided confidence interval
for the scale parameter
in the location-scale model is based on the asymptotic normality of the logarithm of the maximum likelihood estimator
, and is computed by
See Meeker and Escobar (1998) for more information.
The Weibull distribution scale parameter and shape parameter
are obtained by transforming the extreme-value location parameter
and scale parameter
:
Consequently, two-sided confidence intervals for the Weibull scale and shape parameters are computed as