Introduction To The Regenerative Method For Simulation Analysis
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Introduction To The Regenerative Method For Simulation Analysis
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Author : M. A. Crane
language : en
Publisher:
Release Date : 1977
Introduction To The Regenerative Method For Simulation Analysis written by M. A. Crane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.
An Introduction To The Regenerative Method For Simulation Analysis
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Author : M. A. Crane
language : en
Publisher:
Release Date : 2014-01-15
An Introduction To The Regenerative Method For Simulation Analysis written by M. A. Crane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
An Introduction To The Regenerative Method For Simulation Analysis
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Author : M. A. Crane
language : en
Publisher: Springer
Release Date : 1977
An Introduction To The Regenerative Method For Simulation Analysis written by M. A. Crane and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Computers categories.
The purpose of this report is to provide an introduction to the regenerative method for simulation analysis. The simulations are simulations of stochastic systems, i.e., systems with random elements. The regenerative approach leads to a statistical methodology for analyzing the output of those simulations which have the property of 'starting afresh probabilistically' from time to time. The class of such simulations is very large and very important, including simulations of a broad variety of queues and queueing networks, inventory systems, inspection, maintenance, and repair operations, and numerous other situations.
Simulation Methodology For Statisticians Operations Analysts And Engineers 1988
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Author : P. W. A. Lewis
language : en
Publisher: CRC Press
Release Date : 2017-11-22
Simulation Methodology For Statisticians Operations Analysts And Engineers 1988 written by P. W. A. Lewis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Business & Economics categories.
Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers. For students who only have a minimal background in statistics and probability theory, the first five chapters provide an introduction to simulation.
A Guide To Simulation
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Author : P. Bratley
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
A Guide To Simulation written by P. Bratley and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Simulation means driving a model of a system with suitable inputs and observing the corresponding outputs. It is widely applied in engineering, in business, and in the physical and social sciences. Simulation method ology araws on computer. science, statistics, and operations research and is now sufficiently developed and coherent to be called a discipline in its own right. A course in simulation is an essential part of any operations re search or computer science program. A large fraction of applied work in these fields involves simulation; the techniques of simulation, as tools, are as fundamental as those of linear programming or compiler construction, for example. Simulation sometimes appears deceptively easy, but perusal of this book will reveal unexpected depths. Many simulation studies are statistically defective and many simulation programs are inefficient. We hope that our book will help to remedy this situation. It is intended to teach how to simulate effectively. A simulation project has three crucial components, each of which must always be tackled: (1) data gathering, model building, and validation; (2) statistical design and estimation; (3) programming and implementation. Generation of random numbers (Chapters 5 and 6) pervades simulation, but unlike the three components above, random number generators need not be constructed from scratch for each project. Usually random number packages are available. That is one reason why the chapters on random numbers, which contain mainly reference material, follow the ch!lPters deal ing with experimental design and output analysis.
Computer Performance Modeling Handbook
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Author : Stephen Lavenberg
language : en
Publisher: Elsevier
Release Date : 1983-02-28
Computer Performance Modeling Handbook written by Stephen Lavenberg and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-02-28 with Science categories.
Computer Performance Modeling Handbook
Stochastic Simulation
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Author : Brian D. Ripley
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25
Stochastic Simulation written by Brian D. Ripley and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.
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 is a very competently written and useful addition to the statistical literature; a book every statistician should look at and that many should study!" —Short Book Reviews, International Statistical Institute ". . .reading this book was an enjoyable learning experience. The suggestions and recommendations on the methods [make] this book an excellent reference for anyone interested in simulation. With its compact structure and good coverage of material, it [is] an excellent textbook for a simulation course." —Technometrics ". . .this work is an excellent comprehensive guide to simulation methods, written by a very competent author. It is especially recommended for those users of simulation methods who want more than a 'cook book'. " —Mathematics Abstracts This book is a comprehensive guide to simulation methods with explicit recommendations of methods and algorithms. It covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more.
An Index
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Author : A. V. Balakrishnan M. Thoma
language : en
Publisher: Springer
Release Date : 2013-11-21
An Index written by A. V. Balakrishnan M. Thoma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-21 with Science categories.
Simulation
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Author : Sheldon M. Ross
language : en
Publisher: Academic Press
Release Date : 2022-06-14
Simulation written by Sheldon M. Ross and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-14 with Mathematics categories.
Simulation, Sixth Edition continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers will learn to apply the results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, this book presents the statistics needed to analyze simulated data and validate simulation models. - Includes updated content throughout - Offers a wealth of practice exercises as well as applied use of free software package R - Features the author's well-known, award-winning and accessible approach to complex information
Interactive Operations Research With Maple
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Author : Mahmut Parlar
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Interactive Operations Research With Maple written by Mahmut Parlar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Interactive Operations Research with Maple: Methods and Models has two ob jectives: to provide an accelerated introduction to the computer algebra system Maple and, more importantly, to demonstrate Maple's usefulness in modeling and solving a wide range of operations research (OR) problems. This book is written in a format that makes it suitable for a one-semester course in operations research, management science, or quantitative methods. A nwnber of students in the departments of operations research, management science, oper ations management, industrial and systems engineering, applied mathematics and advanced MBA students who are specializing in quantitative methods or opera tions management will find this text useful. Experienced researchers and practi tioners of operations research who wish to acquire a quick overview of how Maple can be useful in solving OR problems will find this an excellent reference. Maple's mathematical knowledge base now includes calculus, linear algebra, ordinary and partial differential equations, nwnber theory, logic, graph theory, combinatorics, statistics and transform methods. Although Maple's main strength lies in its ability to perform symbolic manipulations, it also has a substantial knowledge of a large nwnber of nwnerical methods and can plot many different types of attractive-looking two-dimensional and three-dimensional graphs. After almost two decades of continuous improvement of its mathematical capabilities, Maple can now boast a user base of more than 300,000 academics, researchers and students in different areas of mathematics, science and engineering.