Adventures in Stochastic Processes

  • Sidney I. Resnick

Table of contents

  1. Front Matter
    Pages i-xii
  2. Sidney I. Resnick
    Pages 1-59
  3. Sidney I. Resnick
    Pages 60-173
  4. Sidney I. Resnick
    Pages 174-299
  5. Sidney I. Resnick
    Pages 300-366
  6. Sidney I. Resnick
    Pages 367-481
  7. Sidney I. Resnick
    Pages 482-557
  8. Sidney I. Resnick
    Pages 558-612
  9. Back Matter
    Pages 613-627

About this book


Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. In a lively and imaginative presentation, studded with examples, exercises, and applications, and supported by inclusion of computational procedures, the author has created a textbook that provides easy access to this fundamental topic for many students of applied sciences at many levels. With its carefully modularized discussion and crystal clear differentiation between rigorous proof and plausibility argument, it is accessible to beginners but flexible enough to serve as well those who come to the course with strong backgrounds. The prerequisite background for reading the book is a graduate level pre-measure theoretic probability course. No knowledge of measure theory is presumed and advanced notions of conditioning are scrupulously avoided until the later chapters of the book.

The book can be used for either a one or two semester course as given in departments of mathematics, statistics, operation research, business and management, or a number of engineering departments. Its approach to exercises and applications is practical and serious. Some underlying principles of complex problems and computations are cleanly and quickly delineated through rich vignettes of whimsically imagined Happy Harry and his Optima Street gang’s adventures in a world whose randomness is a never-ending source of both wonder and scientific insight.

The tools of applied probability---discrete spaces, Markov chains, renewal theory, point processes, branching processes, random walks, Brownian motion---are presented to the reader in illuminating discussion. Applications include such topics as queuing, storage, risk analysis, genetics, inventory, choice, economics, sociology, and other. Because of the conviction that analysts who build models should know how to build them for each class of process studied, the author has included such constructions.


Branching process Brownian motion Markov chain point process random walk renewal theory stochastic process

Authors and affiliations

  • Sidney I. Resnick
    • 1
  1. 1.School of Operations Research and Industrial EngineeringCornell UniversityIthacaUSA

Bibliographic information

  • DOI
  • Copyright Information Birkhäuser Boston 2002
  • Publisher Name Birkhäuser, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6738-6
  • Online ISBN 978-1-4612-0387-2
  • Buy this book on publisher's site