This book is about stochastic-process limits -- limits in which a
sequence of stochastic processes converges to another stochastic
process. These are useful and interesting because they generate simple
approximations for complicated stochastic processes and also help
explain the statistical regularity associated with a macroscopic view of
uncertainty. This book will be of interest to researchers and graduate
students working in the areas of probability, stochastic processes, and
operations research.