Traditionally applied probability texts contain a fair amount of probability theory, varying amounts of applications, and no data. The purpose of this text is to present some probability models, some statistics relevant to these models, and some data that illustrate some of the points made. The book emphasizes topics that have interesting scientific applications such as Markov Chain and Monte Carlo methods.

This volume contains 30 of the most influential papers by this eminent and widely published statistical scientist. The contents cover all his key fields--those of time series and point process analysis, seismology, neurophysiology, and population biology.