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The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose

All living things are remarkably complex, yet their DNA is unstable, undergoing countless random mutations over generations. Despite this instability, most anim

This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty.

Mature sciences have been long been characterized in terms of the “successfulness”, “reliability” or “trustworthiness” of their theoretical, experim

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational d