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Author : Dietrich Stoyan
Publisher : Unknown
Page : 217 pages
File Size : 45,6 Mb
Release : 2001
Category : Electronic
ISBN : 0783747683
Author : Paul P. Biemer,Robert M. Groves,Lars E. Lyberg,Nancy A. Mathiowetz,Seymour Sudman
Publisher : John Wiley & Sons
Page : 802 pages
File Size : 55,8 Mb
Release : 2013-08-12
Category : Mathematics
ISBN : 0471692808
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 : Khalid Al-Begain,Dieter Fiems,William Knottenbelt
Publisher : Springer Science & Business Media
Page : 419 pages
File Size : 42,5 Mb
Release : 2010-06
Category : Computers
ISBN : 9783642135675
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 : András Horváth,Miklós Telek
Publisher : Springer
Page : 239 pages
File Size : 42,6 Mb
Release : 2006-06-20
Category : Computers
ISBN : 9783540353652
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 : D N Shanbhag,Calyampudi Radhakrishna Rao
Publisher : Gulf Professional Publishing
Page : 990 pages
File Size : 53,8 Mb
Release : 2001
Category : Mathematics
ISBN : 0444500146
This volume in the series contains chapters on areas such as pareto processes, branching processes, inference in stochastic processes, Poisson approximation, Levy processes, and iterated random maps and some classes of Markov processes. Other chapters cover random walk and fluctuation theory, a semigroup representation and asymptomatic behavior of certain statistics of the Fisher-Wright-Moran coalescent, continuous-time ARMA processes, record sequence and their applications, stochastic networks with product form equilibrium, and stochastic processes in insurance and finance. Other subjects include renewal theory, stochastic processes in reliability, supports of stochastic processes of multiplicity one, Markov chains, diffusion processes, and Ito's stochastic calculus and its applications. c. Book News Inc.
Author : Shunji Osaki,D N Pra Murthy
Publisher : World Scientific
Page : 628 pages
File Size : 54,6 Mb
Release : 1993-04-27
Category : Electronic
ISBN : 9789814552875
The proceedings contain a range of papers dealing with different issues relating to the theme of the workshop. The majority of them deal with model formulation and model analysis. A few deal with mathematical techniques that are needed to carry out model analysis. Some of the papers are theoretical whilst others are applied. As a result, the topics covered in these papers highlight the multifaceted nature of stochastic modelling and diversity of the applications of stochastic models.
Author : Paolo Ballarini,Hind Castel,Ioannis Dimitriou,Mauro Iacono,Tuan Phung-Duc,Joris Walraevens
Publisher : Springer Nature
Page : 499 pages
File Size : 53,6 Mb
Release : 2021-11-26
Category : Computers
ISBN : 9783030918255
This book constitutes the refereed proceedings of the 17th European Workshop on Computer Performance Engineering, EPEW 2021, and the 26th International Conference, on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021, held in December 2021. The conference was held virtually due to COVID 19 pandemic. The 29 papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers presented at the workshop reflect the diversity of modern performance evaluation, with topics ranging from modeling and analysis of network/control protocols and high performance/big data information systems, analysis of scheduling, blockchain technology, analytical modeling and simulation of computer and network systems.
Author : Ronald W. Wolff
Publisher : Pearson
Page : 580 pages
File Size : 46,9 Mb
Release : 1989
Category : Mathematics
ISBN : UOM:39015060607937
An integrated and up-to-date treatment of applied stochastic processes and queueing theory, with an emphasis on time-averages and long-run behavior. Theory demonstrates practical effects, such as priorities, pooling of queues, and bottlenecks. Appropriate for senior/graduate courses in queueing theory in Operations Research, Computer Science, Statistics, or Industrial Engineering departments. (vs. Ross, Karlin, Kleinrock, Heyman)
Author : Dietrich Stoyan
Publisher : Unknown
Page : 240 pages
File Size : 42,5 Mb
Release : 1983
Category : Mathematics
ISBN : UOM:39076000584339
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 : Jyotiprasad Medhi
Publisher : New Age International
Page : 664 pages
File Size : 40,9 Mb
Release : 1994
Category : Procesos estocásticos
ISBN : 8122405495
Aims At The Level Between That Of Elementary Probability Texts And Advanced Works On Stochastic Processes. The Pre-Requisites Are A Course On Elementary Probability Theory And Statistics, And A Course On Advanced Calculus. The Theoretical Results Developed Have Been Followed By A Large Number Of Illustrative Examples. These Have Been Supplemented By Numerous Exercises, Answers To Most Of Which Are Also Given. It Will Suit As A Text For Advanced Undergraduate, Postgraduate And Research Level Course In Applied Mathematics, Statistics, Operations Research, Computer Science, Different Branches Of Engineering, Telecommunications, Business And Management, Economics, Life Sciences And So On. A Review Of The Book In American Mathematical Monthly (December 82) Gives This Book Special Positive Emphasis As A Textbook As Follows: 'Of The Dozen Or More Texts Published In The Last Five Years Aimed At The Students With A Background Of A First Course In Probability And Statistics But Not Yet To Measure Theory, This Is The Clear Choice. An Extremely Well Organized, Lucidly Written Text With Numerous Problems, Examples And Reference T* (With T* Where T Denotes Textbook And * Denotes Special Positive Emphasis). The Current Enlarged And Revised Edition, While Retaining The Structure And Adhering To The Objective As Well As Philosophy Of The Earlier Edition, Removes The Deficiencies, Updates The Material And The References And Aims At A Border Perspective With Substantial Additions And Wider Coverage.
Author : Marius Iosifescu,Nikolaos Limnios,Gheorghe Oprisan
Publisher : John Wiley & Sons
Page : 258 pages
File Size : 55,9 Mb
Release : 2013-03-04
Category : Mathematics
ISBN : 9781118623527
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 : Shunji Osaki
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 49,6 Mb
Release : 2002-04
Category : Business & Economics
ISBN : 3540431330
This book contains 12 contributions on stochastic models in reliability and maintenance. Written by the leading researchers on each topic, each contribution surveys the current status on stochastic models emphasizing mathematical formulation and optimization applications. Each contribution is self-contained and has a thorough bibliography. The topics include renewal processes, semi-Markov processes, Markovian deterioration models, maintenance and replacement models, software reliability models and Monte-Carlo simulation. This book provides researchers, reliability engineers and graduate students with the current status of the field and future developments of the subject.
Author : Masaaki Kijima
Publisher : Springer
Page : 345 pages
File Size : 51,5 Mb
Release : 2013-12-19
Category : Mathematics
ISBN : 9781489931320
This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time parameters. A Markov chain is a stochastic process characterized by the Markov prop erty that the distribution of future depends only on the current state, not on the whole history. Despite its simple form of dependency, the Markov property has enabled us to develop a rich system of concepts and theorems and to derive many results that are useful in applications. In fact, the areas that can be modeled, with varying degrees of success, by Markov chains are vast and are still expanding. The aim of this book is a discussion of the time-dependent behavior, called the transient behavior, of Markov chains. From the practical point of view, when modeling a stochastic system by a Markov chain, there are many instances in which time-limiting results such as stationary distributions have no meaning. Or, even when the stationary distribution is of some importance, it is often dangerous to use the stationary result alone without knowing the transient behavior of the Markov chain. Not many books have paid much attention to this topic, despite its obvious importance.
Author : Philippe Robert
Publisher : Springer Science & Business Media
Page : 406 pages
File Size : 54,5 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9783662130520
Queues and stochastic networks are analyzed in this book with purely probabilistic methods. The purpose of these lectures is to show that general results from Markov processes, martingales or ergodic theory can be used directly to study the corresponding stochastic processes. Recent developments have shown that, instead of having ad-hoc methods, a better understanding of fundamental results on stochastic processes is crucial to study the complex behavior of stochastic networks. In this book, various aspects of these stochastic models are investigated in depth in an elementary way: Existence of equilibrium, characterization of stationary regimes, transient behaviors (rare events, hitting times) and critical regimes, etc. A simple presentation of stationary point processes and Palm measures is given. Scaling methods and functional limit theorems are a major theme of this book. In particular, a complete chapter is devoted to fluid limits of Markov processes.
Author : Anthony H. Christer,Shunji Osaki,Lyn C. Thomas
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 48,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783642591051
This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems.
