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