Comparison Methods for Queues and Other Stochastic Models
Author | : Dietrich Stoyan |
Publisher | : |
Total Pages | : 217 |
Release | : 2001 |
Genre | : |
ISBN | : 9780783747682 |
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Author | : Dietrich Stoyan |
Publisher | : |
Total Pages | : 217 |
Release | : 2001 |
Genre | : |
ISBN | : 9780783747682 |
Author | : Khalid Al-Begain |
Publisher | : Springer Science & Business Media |
Total Pages | : 419 |
Release | : 2010-06 |
Genre | : Computers |
ISBN | : 3642135676 |
This book constitutes the refereed proceedings of the 17th International Conference on Analytical and Stochastic Modeling Techniques and Applications, ASMTA 2010, held in Cardiff, UK, in June 2010. The 28 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on queueing theory, specification languages and tools, telecommunication systems, estimation, prediction, and stochastic modelling.
Author | : Dietrich Stoyan |
Publisher | : |
Total Pages | : 240 |
Release | : 1983 |
Genre | : Mathematics |
ISBN | : |
Studies stochastic models of queueing, reliability, inventory, and sequencing in which random influences are considered. One stochastic mode—rl is approximated by another that is simpler in structure or about which simpler assumptions can be made. After general results on comparison properties of random variables and stochastic processes are given, the properties are illustrated by application to various queueing models and questions in experimental design, renewal and reliability theory, PERT networks and branching processes.
Author | : András Horváth |
Publisher | : Springer |
Total Pages | : 246 |
Release | : 2006-06-20 |
Genre | : Computers |
ISBN | : 3540353658 |
This book constitutes the refereed proceedings of the Third European Performance Engineering Workshop, EPEW 2006, held in Budapest, Hungary in June 2006. The 16 revised full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on stochastic process algebra, workloads and benchmarks, theory of stochastic processes, formal dependability and performance evaluation, as well as queues, theory and practice.
Author | : Vidyadhar G. Kulkarni |
Publisher | : CRC Press |
Total Pages | : 495 |
Release | : 2016-11-18 |
Genre | : Business & Economics |
ISBN | : 1498756727 |
Building on the author’s more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the most important classes of stochastic processes used in the modeling of diverse systems. For each class of stochastic process, the text includes its definition, characterization, applications, transient and limiting behavior, first passage times, and cost/reward models. The third edition has been updated with several new applications, including the Google search algorithm in discrete time Markov chains, several examples from health care and finance in continuous time Markov chains, and square root staffing rule in Queuing models. More than 50 new exercises have been added to enhance its use as a course text or for self-study. The sequence of chapters and exercises has been maintained between editions, to enable those now teaching from the second edition to use the third edition. Rather than offer special tricks that work in specific problems, this book provides thorough coverage of general tools that enable the solution and analysis of stochastic models. After mastering the material in the text, readers will be well-equipped to build and analyze useful stochastic models for real-life situations.
Author | : Marius Iosifescu |
Publisher | : John Wiley & Sons |
Total Pages | : 258 |
Release | : 2013-03-04 |
Genre | : Mathematics |
ISBN | : 1118623525 |
This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest models, genetic models, optimal stopping, reliability, reservoir theory, storage models, and queuing systems. Given this comprehensive treatment of the subject, students and researchers in applied sciences, as well as anyone looking for an introduction to stochastic models, will find this title of invaluable use.
Author | : Paul P. Biemer |
Publisher | : John Wiley & Sons |
Total Pages | : 802 |
Release | : 2013-08-12 |
Genre | : Mathematics |
ISBN | : 9780471692805 |
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book will be an aid to survey statisticians and to research workers who must work with survey data." –Short Book Reviews, International Statistical Institute Measurement Errors in Surveys documents the current state of the field, reports new research findings, and promotes interdisciplinary exchanges in modeling, assessing, and reducing measurement errors in surveys. Providing a fundamental approach to measurement errors, the book features sections on the questionnaire, respondents and responses, interviewers and other means of data collection, the respondent-interviewer relationship, and the effects of measurement errors on estimation and data analysis.
Author | : Guy Latouche |
Publisher | : World Scientific |
Total Pages | : 433 |
Release | : 2002-06-12 |
Genre | : Mathematics |
ISBN | : 9814488240 |
Matrix-analytic methods are fundamental to the analysis of a family of Markov processes rich in structure and of wide applicability. They are extensively used in the modelling and performance analysis of computer systems, telecommunication networks, network protocols and many other stochastic systems of current commercial and engineering interest.This volume deals with: (1) various aspects of the theory of block-structured Markov chains; (2) analysis of complex queueing models; and (3) parameter estimation and specific applications to such areas as cellular mobile systems, FS-ALOHA, the Internet and production systems.
Author | : Vidyadhar G. Kulkarni |
Publisher | : CRC Press |
Total Pages | : 646 |
Release | : 1996-05-15 |
Genre | : Business & Economics |
ISBN | : 9780412049910 |
This practical and accessible text enables students in engineering, business, operations research, public policy and computer science to analyze stochastic systems. Emphasizing the modeling of real-life situations with stochastic elements and analyzing the resulting stochastic model, it presents the major cases of useful stochastic processes-discrete and continuous time Markov chains, renewal processes, regenerative processes, and Markov regenerative processes. The author provides user-friendly, yet rigorous coverage. He demonstrates both numerical and analytical solution methods in detail and includes numerous worked examples and exercises.
Author | : Felix Belzunce |
Publisher | : Academic Press |
Total Pages | : 175 |
Release | : 2015-09-29 |
Genre | : Mathematics |
ISBN | : 0128038268 |
An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this topic for students and researchers who want to use it as a tool for their research. In addition, users will find detailed proofs of the main results and applications to several probabilistic models of interest in several fields, and discussions of fundamental properties of several stochastic orders, in the univariate and multivariate cases, along with applications to probabilistic models. - Introduces stochastic orders and its notation - Discusses different orders of univariate stochastic orders - Explains multivariate stochastic orders and their convex, likelihood ratio, and dispersive orders