For the best experience, please enable Javascript
Warning - This version of Internet Explorer is out of date. It has known security flaws and may not display all features of this website correctly. Please consider updating this browser.

Applied Probability Models with Optimization Applications

Applied Probability Models with Optimization Applications

By: Sheldon M. Ross

  • Book
  • Reg. Price › $11.95
  • eBook
  • Sale Price › $9.56
  • Paperback + eBook
  • Reg. Price › $13.15
  • Share this book:
  • Share on Google+

"A clarity of style and a conciseness of treatment which students will find most welcome. The material is valuable and well organized … an excellent introduction to applied probability." — Journal of the American Statistical Association.
This book offers a concise introduction to some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly in the area of decision processes. After reviewing some basic notions of probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subsequent chapters deal with such topics as renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous time optimization models.
Each chapter is followed by a section of useful problems that illustrate and complement the text. There is also a short list of relevant references at the end of every chapter. Students will find this a largely self-contained text that requires little previous knowledge of the subject. It is especially suited for a one-year course in applied probability at the advanced undergraduate or beginning postgraduate level. 1970 edition.

Reprint of the Holden-Day, Inc., San Francisco, 1970 edition.
AvailabilityUsually ships in 24 to 48 hours
ISBN 100486673146
ISBN 139780486673141
Author/EditorSheldon M. Ross
Page Count224
Dimensions5 1/2 x 8 1/2

You might also Like...

Product Review

Out of Stock Notification:
Coming Soon: