1Blurb::
2Interval analysis using global optimization methods
3Description::
4In the global approach to interval estimation, one uses either a global optimization
5method or a sampling method to assess the bounds of the responses.
6
7\c global_interval_est
8allows the user to specify several approaches to calculate
9interval bounds on the output responses.
10\li \c lhs - note: this takes the minimum and maximum of the samples as the bounds
11\li \c ego
12\li \c sbo
13\li \c ea
14
15<b> Additional Resources </b>
16
17Refer to \ref topic-variable_support for information on supported
18variable types.
19
20Topics::        uncertainty_quantification, epistemic_uncertainty_quantification_methods, interval_estimation
21Examples::
22Theory::
23Faq::
24See_Also::	method-global_evidence, method-local_evidence, method-local_interval_est
25