Stochastic Networks (Lecture Notes in Statistics)
1 edition
Our rough guess is there are 78,000 words in this book.
At a pace averaging 250 words per minute, this book will take 5 hours and 12 minutes to read. With a half hour per day, this will take 11 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Contributions
- Paul Glasserman (Editor) - Contributor
- Karl Sigman (Editor) - Contributor
- David D. Yao (Editor) - Contributor
Publication
1996-07-30 - Springer
Language
English
Word Count
78,000 words, Guess
Page Count
312 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL9384566M
- ISBN-139780387948287
- ISBN-100387948287
- Goodreads4376221
Classifications
- LCCQA276-280
Description
Two of the most exciting topics of current research in stochastic networks are the complementary subjects of stability and rare events. Both are classical topics that have experienced renewed interest motivated by new applications to emerging technologies. For example, new stability issues arise in the scheduling of multiple classes in semiconductor manufacturing, the so-called "re-entrant lines," and a prominent need for studying rare events is associated with the design of telecommunication systems using the new ATM (asynchronous transfer mode) technology so as to guarantee quality of service. The objective of this volume is to present a sample of recent research problems, methodologies, and results in these two exciting and burgeoning areas. This volume originated from a workshop held at Columbia University in 1995 organized by Columbia's Center for Applied Probability.
Subjects
Topics
Other Editions
- Stochastic Networks (Lecture Notes in Statistics)
Similar Books
Workshop Statistics: Discovery with Data and Minitab and Minitab R14 Set
Beth L. Chance, Allan J. Rossman, Beth Chance
A Beginner's Guide to Graph Theory
W.D. Wallis
Empirical Estimates in Stochastic Optimization and Identification
by Pavel S. Knopov, Evgeniya J. Kasitskaya
Computer intensive methods in statistics
Wolfgang Härdle, Léopold Simar, eds.
Brownian motion and stochastic calculus
Ioannis Karatzas, Steven E. Shreve.
The concise encyclopedia of statistics
Yadolah Dodge.
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!