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Probabilistic Models in Operations Research

Probabilistic Models in Operations Research
Author: Silviu Guiasu
Publisher:
Total Pages: 0
Release: 2009
Genre: Operations research
ISBN: 9781606922330

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Operations Research, often abbreviated as OR, is a relatively new branch of Applied Mathematics. Its aim is to optimise mathematical models of reality involving probabilistic uncertainty and its results are applied to real life problems. The aim of this book is to cover, in a condensed but rigorous way, the main chapter of the OR probablisitc models based on optimisation. The topics are taken from Game Theory, Decision Theory, Simulation, Reliability, and Queueing Theory. Game Theory deals with how to find the best winning strategies in a confrontation between two players with opposite interest and how to evaluate the value of different possible coalitions in a game involving more than two players. In Decision Theory the main objective is to find the optimum actions of the decision maker for minimising his loss when he has limited information available and faces uncertainty about the future possible events. Simulation is a powerful instrument for obtaining representative examples, of any length, from probability distributions of interest and for approximating multiple definite integrals and the solutions of linear and non-linear equations and programs. In the chapter dealing with Reliability, the main problem is how to evaluate the probability that a system functions properly, or is still alive, during an arbitrary time interval. Finally, Queuing Theory deals with how to assess what may happen in a complex system where the customers arrive randomly, wait in line, and later are served. A main concept is the waiting time in the queuing system, waiting to be served and being served. In each chapter, some representative examples and the mathematical formalism are discussed first, eventually followed by the comments on ramifications, generalisations and applications of the basic results. Computer tips and programs are inserted in each chapter. The text is based on lectures delivered for more than twenty-five years in the Department of Mathematics and Statistics at York University in Toronto. The book is rather a monograph an the probablistic modes in Operations Research which could also be used as a text book in a more advanced OR course. The book is self-contained, compact, and accessible to mathematicians, economists, system analysts, decision makers, and people dealing with computer assisted modelling. It contains also new original topics and proofs not covered in the standard OR textbooks. The chapters are kept to be as independent as possible.


Probability Models in Operations Research

Probability Models in Operations Research
Author: C. Richard Cassady
Publisher: CRC Press
Total Pages: 224
Release: 2008-08-05
Genre: Business & Economics
ISBN: 1420054902

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Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive


Analyzing Risk through Probabilistic Modeling in Operations Research

Analyzing Risk through Probabilistic Modeling in Operations Research
Author: Jakóbczak, Dariusz Jacek
Publisher: IGI Global
Total Pages: 466
Release: 2015-11-03
Genre: Business & Economics
ISBN: 1466694599

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Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making. Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.


Probablistic Models in Operations Research

Probablistic Models in Operations Research
Author: Silviu Guiasu
Publisher: Nova Science Publishers
Total Pages: 300
Release: 2014-05-14
Genre: Operations research
ISBN: 9781608765331

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Introduction to Probability Models

Introduction to Probability Models
Author: Wayne L. Winston
Publisher: Duxbury Resource Center
Total Pages: 762
Release: 2004
Genre: Business & Economics
ISBN:

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Vol. 2: CD-ROM contains student editions of: ProcessModel, LINGO, Premium Solver, DecisionTools Suite including @RISK AND RISKOptimizer, Data files.


Introduction to Probability Models

Introduction to Probability Models
Author: Wayne L. Winston
Publisher: Brooks/Cole Publishing Company
Total Pages: 752
Release: 2003-06-01
Genre: Business & Economics
ISBN: 9780534423599

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This text, the second volume of Wayne Winston's successful OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, FOURTH EDITION, covers topics in Probability Models and addresses the substantial contribution of Probability Modeling in the last five years to the fields of financial engineering, computational simulation and manufacturing. The specific attention to probability models with the addition of recent practical breakthroughs makes this the first text to introduce these ideas together at an accessible level.


Probabilistic Reliability Models

Probabilistic Reliability Models
Author: Igor A. Ushakov
Publisher: John Wiley & Sons
Total Pages: 166
Release: 2012-08-07
Genre: Business & Economics
ISBN: 1118370767

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Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems. The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including: • Unrecoverable objects and recoverable systems • Methods of direct enumeration • Markov models and heuristic models • Performance effectiveness • Time redundancy • System survivability • Aging units and their related systems • Multistate systems Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material. Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.


Heavy-Tail Phenomena

Heavy-Tail Phenomena
Author: Sidney I. Resnick
Publisher: Springer Science & Business Media
Total Pages: 412
Release: 2007-12-03
Genre: Mathematics
ISBN: 0387450246

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This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. It is uniquely devoted to heavy-tails and emphasizes both probability modeling and statistical methods for fitting models. Prerequisites for the reader include a prior course in stochastic processes and probability, some statistical background, some familiarity with time series analysis, and ability to use a statistics package. This work will serve second-year graduate students and researchers in the areas of applied mathematics, statistics, operations research, electrical engineering, and economics.


Operations Research Models and Methods

Operations Research Models and Methods
Author: Paul A. Jensen
Publisher: John Wiley & Sons
Total Pages: 708
Release: 2003
Genre: Business & Economics
ISBN:

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The CD has three principal components: ORMM Site, Excel documents and commercial software. The "ormm" directory contains a variety of materials that support the textbook. To view the site you must use a recent version of an Internet Browser such as Microsoft Internet Explorer or Netscape Communicator.