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Regenerative Stochastic Simulation

Regenerative Stochastic Simulation PDF Author: Gerald S. Shedler
Publisher: Elsevier
ISBN: 0080925723
Category : Mathematics
Languages : en
Pages : 400

Book Description
Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniques do not suffice. The focus of this book is on simulations of discrete-event stochastic systems; namely, simulations in which stochastic state transitions occur only at an increasing sequence of random times. The discussion emphasizes simulations on a finite or countably infinite state space. * Develops probabilistic methods for simulation of discrete-event stochastic systems * Emphasizes stochastic modeling and estimation procedures based on limit theorems for regenerative stochastic processes * Includes engineering applications of discrete-even simulation to computer, communication, manufacturing, and transportation systems * Focuses on simulations with an underlying stochastic process that can specified as a generalized semi-Markov process * Unique approach to simulation, with heavy emphasis on stochastic modeling * Includes engineering applications for computer, communication, manufacturing, and transportation systems

Regenerative Stochastic Simulation

Regenerative Stochastic Simulation PDF Author: Gerald S. Shedler
Publisher: Elsevier
ISBN: 0080925723
Category : Mathematics
Languages : en
Pages : 400
Book Description
Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniques do not suffice. The focus of this book is on simulations of discrete-event stochastic systems; namely, simulations in which stochastic state transitions occur only at an increasing sequence of random times. The discussion emphasizes simulations on a finite or countably infinite state space. * Develops probabilistic methods for simulation of discrete-event stochastic systems * Emphasizes stochastic modeling and estimation procedures based on limit theorems for regenerative stochastic processes * Includes engineering applications of discrete-even simulation to computer, communication, manufacturing, and transportation systems * Focuses on simulations with an underlying stochastic process that can specified as a generalized semi-Markov process * Unique approach to simulation, with heavy emphasis on stochastic modeling * Includes engineering applications for computer, communication, manufacturing, and transportation systems

Advances in Stochastic Simulation Methods

Advances in Stochastic Simulation Methods PDF Author: N. Balakrishnan
Publisher: Springer Science & Business Media
ISBN: 1461213185
Category : Mathematics
Languages : en
Pages : 386
Book Description
This is a volume consisting of selected papers that were presented at the 3rd St. Petersburg Workshop on Simulation held at St. Petersburg, Russia, during June 28-July 3, 1998. The Workshop is a regular international event devoted to mathematical problems of simulation and applied statistics organized by the Department of Stochastic Simulation at St. Petersburg State University in cooperation with INFORMS College on Simulation (USA). Its main purpose is to exchange ideas between researchers from Russia and from the West as well as from other coun tries throughout the World. The 1st Workshop was held during May 24-28, 1994, and the 2nd workshop was held during June 18-21, 1996. The selected proceedings of the 2nd Workshop was published as a special issue of the Journal of Statistical Planning and Inference. Russian mathematical tradition has been formed by such genius as Tchebysh eff, Markov and Kolmogorov whose ideas have formed the basis for contempo rary probabilistic models. However, for many decades now, Russian scholars have been isolated from their colleagues in the West and as a result their mathe matical contributions have not been widely known. One of the primary reasons for these workshops is to bring the contributions of Russian scholars into lime light and we sincerely hope that this volume helps in this specific purpose.

Multivariate Stochastic Simulation for Technology Assessment with an Application to the Chemi-thermomechanical Pulping and Press Drying Process

Multivariate Stochastic Simulation for Technology Assessment with an Application to the Chemi-thermomechanical Pulping and Press Drying Process PDF Author: Peter J. Ince
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 586
Book Description


Stochastic Modelling of Reaction-Diffusion Processes

Stochastic Modelling of Reaction-Diffusion Processes PDF Author: Radek Erban
Publisher: Cambridge University Press
ISBN: 1108498124
Category : Mathematics
Languages : en
Pages : 321
Book Description
Practical introduction for advanced undergraduate or beginning graduate students of applied mathematics, developed at the University of Oxford.

Elements of Stochastic Process Simulation

Elements of Stochastic Process Simulation PDF Author: Byron S. Gottfried
Publisher: Prentice Hall
ISBN:
Category : Computer simulation
Languages : en
Pages : 330
Book Description
"In this introductory coverage of stochastic process simulation Byron S. Gottfried emphasizes a balance between model building and computer implementation. In his readable, easy to understand style, the author provides a balanced overview of the subject matter along with an exanimation of some of its practical applications." -- Back cover.

Predicting Species Occurrences

Predicting Species Occurrences PDF Author: J. Michael Scott
Publisher: Island Press
ISBN: 9781597263054
Category : Science
Languages : en
Pages : 940
Book Description
Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that: review the history of the theory and practice of modeling and present a standard terminology examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy discuss how to predict species presence and abundance present examples of how spatially explicit data on demographics can provide important information for managers An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.

Innovations In GIS 5

Innovations In GIS 5 PDF Author: Steve Carver
Publisher: CRC Press
ISBN: 1482263114
Category : Technology & Engineering
Languages : en
Pages : 350
Book Description
This text reflects the interdisciplinary nature of GIS research and includes coverage of such themes as: virtual GIS; spatial analysis; artificial intelligence; spatial agents and fuzzy systems; and space-time GIS and GIS applications.

Macroeconomic Modelling

Macroeconomic Modelling PDF Author: S.G. Hall
Publisher: Elsevier
ISBN: 1483295478
Category : Business & Economics
Languages : en
Pages : 426
Book Description
This book arose out of research carried out by the authors in the period 1983-1987 whilst at the National Institute of Economic and Social Research. A number of things combined to impart the basic thrust of the research: partly the developments in formulating and estimating rational expectations models, and partly actual developments in the UK economy itself. An application of recent developments in dynamic modelling to a complete macroeconometric model of the UK is presented. Rational expectations modelling, co-integration and disequilibrium modelling are covered. The book also develops computational procedures for obtaining efficient solutions to large-scale models, and illustrates model solutions assuming rational expectations and stochastic simulations. Finally, sections on the analysis of models using optimal control methods illustrate applications of a large-scale econometric model. This section also discusses policy applications, including the derivation of time-consistent policies in the presence of rational expectations, giving quantified illustrations.

Molecular Dynamics Simulation

Molecular Dynamics Simulation PDF Author: Giovanni Ciccotti
Publisher: MDPI
ISBN: 3906980650
Category : Electronic book
Languages : en
Pages : 627
Book Description
Printed Edition of the Special Issue Published in Entropy

Performance Evaluation and Simulation of Computer Systems

Performance Evaluation and Simulation of Computer Systems PDF Author: University of Michigan. Engineering Summer Conferences, 1973
Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 800
Book Description