STATISTICS FOR EXPERIMENTERS - DESIGN, INNOVATION, AND DISCOVERY

In this update of the classic 1978 text, professors emeriti of statistics/engineering (U. of Wisconsin-Madison; Princeton U.) present examples of how analytic tools may be applied by subject area specialists. Promoting cross-fertilization between statisticians and scientists, they treat the shared problems of complexity, experimental error, and correlation vs. causation after a review of basic statistics. New topics include graphical analysis of variance, computer analysis of complex designs, Bayesian approaches to model selection, and time series models.