USC electrical engineer Bart Kosco offers an excellent criticism of model-based science and engineering [the classical methods that I learned]. Kosco is optimistic that statistical methods, especially bootstrap resampling will enhance the progress of science:
Bootstrap resampling has started to invade almost every type of statistical decision making. Statisticians have even shown how to apply it in complex cases of time-series and dependent data. It still tends to appear in statistics texts as a special topic after the student learns the traditional model-based methods. And there may be no easy way to give student scientists and engineers an in-class exam on bootstrap resampling with real data.
Kosco’s brief is easy to follow – don’t miss it.