- 2 8 1 ). ▁ ▁The ▁trouble ▁with ▁this ▁feature ▁of ▁info - g ap ' s ▁robust ness ▁model ▁is ▁brought ▁out ▁more ▁force fully ▁by ▁the ▁picture . ▁The ▁white ▁circle ▁represents ▁the ▁immediate ▁neighborhood ▁of ▁the ▁estimate ▁ ▁on ▁which ▁the ▁Max imin ▁analysis ▁is ▁conducted . ▁Since ▁the ▁region ▁of ▁uncertainty ▁is ▁large ▁and ▁the ▁quality ▁of ▁the ▁estimate ▁is ▁poor , ▁it ▁is ▁very ▁likely ▁that ▁the ▁true ▁value ▁of ▁ ▁is ▁distant ▁from ▁the ▁point ▁at ▁which ▁the ▁Max imin ▁analysis ▁is ▁conducted . ▁ ▁So ▁given ▁the ▁sever ity ▁of ▁the ▁uncertainty ▁under ▁consideration , ▁how ▁valid / use ful ▁can ▁this ▁type ▁of ▁Max imin ▁analysis ▁really ▁be ? ▁ ▁What ▁extent ▁a ▁local ▁robust ness ▁analysis ▁a ▁la ▁Max imin ▁in ▁the ▁immediate ▁neighborhood ▁of ▁a ▁poor ▁estimate ▁can ▁apt ly ▁represent ▁a ▁large ▁region ▁of ▁uncertainty . ▁ ▁Rob ust ▁optimization ▁methods ▁invari ably ▁take ▁a ▁far ▁more ▁global ▁view ▁of ▁robust ness . ▁So ▁much ▁so ▁that ▁scenario ▁planning ▁and ▁scenario ▁generation ▁are ▁central ▁issues ▁in ▁this ▁area . ▁This ▁reflect s ▁a ▁strong ▁commit ment ▁to ▁an ▁ade qu ate ▁representation ▁of ▁the ▁entire ▁region ▁of ▁uncertainty ▁in ▁the ▁definition ▁of ▁robust ness ▁and ▁in ▁the ▁robust ness ▁analysis ▁itself . ▁ ▁This ▁has ▁to ▁do ▁with ▁the ▁port ray al ▁of ▁info - g ap ' s ▁contribution ▁to ▁the ▁state ▁of ▁the ▁art ▁in ▁decision ▁theory , ▁and ▁its ▁role ▁and ▁place ▁vis - a - vis ▁other