The Author's Guide to the Applied Probability Journals
Author | : Kathleen M. Lyle |
Publisher | : |
Total Pages | : 40 |
Release | : 1979 |
Genre | : Advances in Applied Probability |
ISBN | : |
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Author | : Kathleen M. Lyle |
Publisher | : |
Total Pages | : 40 |
Release | : 1979 |
Genre | : Advances in Applied Probability |
ISBN | : |
Author | : Sheldon M. Ross |
Publisher | : Courier Corporation |
Total Pages | : 226 |
Release | : 2013-04-15 |
Genre | : Mathematics |
ISBN | : 0486318648 |
Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.
Author | : |
Publisher | : |
Total Pages | : 78 |
Release | : 1992 |
Genre | : Advances in applied probability |
ISBN | : |
Author | : Henry Watson Fowler |
Publisher | : |
Total Pages | : 172 |
Release | : 1920 |
Genre | : English language |
ISBN | : |
Author | : Mary A. Meyer |
Publisher | : SIAM |
Total Pages | : 471 |
Release | : 2001-01-01 |
Genre | : Mathematics |
ISBN | : 0898714745 |
Expert judgment is invaluable for assessing products, systems, and situations for which measurements or test results are sparse or nonexistent. Eliciting and Analyzing Expert Judgment: A Practical Guide takes the reader step by step through the techniques of eliciting and analyzing expert judgment, with special attention given to helping the reader develop elicitation methods and tools adaptable to a variety of unique situations and work areas. The analysis procedures presented in the book may require a basic understanding of statistics and probabilities, but the authors have provided detailed explanations of the techniques used and have taken special care to define all statistical jargon. Originally published in 1991, this book is designed so that those familiar with the use of expert judgment can quickly find the material appropriate for their advanced background.
Author | : Paul Glasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 305 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 146124062X |
Two of the most exciting topics of current research in stochastic networks are the complementary subjects of stability and rare events - roughly, the former deals with the typical behavior of networks, and the latter with significant atypical behavior. Both are classical topics, of interest since the early days of queueing theory, that have experienced renewed interest mo tivated by new applications to emerging technologies. For example, new stability issues arise in the scheduling of multiple job classes in semiconduc tor 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 hence to present a sample - by no means comprehensive - of recent research problems, methodologies, and results in these two exciting and burgeoning areas. The volume is organized in two parts, with the first part focusing on stability, and the second part on rare events. But it is impossible to draw sharp boundaries in a healthy field, and inevitably some articles touch on both issues and several develop links with other areas as well. Part I is concerned with the issue of stability in queueing networks.
Author | : Michel K. Ochi |
Publisher | : Wiley-Interscience |
Total Pages | : 528 |
Release | : 1990-01-25 |
Genre | : Mathematics |
ISBN | : |
This introduction to modern concepts of applied stochastic processes is written for a broad range of applications in diverse areas of engineering and the physical sciences (unlike other books, which are written primarily for communications or electrical engineering). Emphasis is on clarifying the basic principles supporting current prediction techniques. The first eight chapters present the probability theory relevant to analysis of stochastic processes. The following nine chapters discuss principles, advanced techniques (including the procedures of spectral analysis and the development of the probability density function) and applications. Also features material found in the recent literature such as higher-order spectral analysis, the joint probability distribution of amplitudes and periods and non-Gaussian random processes. Includes numerous illustrative examples.
Author | : Sheldon M. Ross |
Publisher | : Cambridge University Press |
Total Pages | : 192 |
Release | : 2023-07-31 |
Genre | : Mathematics |
ISBN | : 1009189239 |
Written by Sheldon Ross and Erol Peköz, this text familiarises you with advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these topics rigorously but at such an accessible level - all you need is an undergraduate-level understanding of calculus and probability. New to this edition are sections on the gambler's ruin problem, Stein's method as applied to exponential approximations, and applications of the martingale stopping theorem. Extra end-of-chapter exercises have also been added, with selected solutions available.This is an ideal textbook for students taking an advanced undergraduate or graduate course in probability. It also represents a useful resource for professionals in relevant application domains, from finance to machine learning.