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.

This volume surveys the major results and techniques of analysis in the field of adaptive control. Focusing on linear, continuous time, single-input, single-out

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