Elements of Applied Stochastic Processes (Wiley Series in Probability and Statistics)

Elements of Applied Stochastic Processes (Wiley Series in Probability and Statistics) Review

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Elements of Applied Stochastic Processes (Wiley Series in Probability and Statistics) Feature

This 3rd edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organising it into a more teachable format. It provides more in-depth coverage of Markov chains and simple Markov process and gives added emphasis to statistical inference in stochastic processes.

• Integration of theory and application offers improved teachability
• Provides a comprehensive introduction to stationary processes and time series analysis
• Integrates a broad set of applications into the text
• Utilizes a wealth of examples from research papers and monographs

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Combat Modeling (International Series in Operations Research & Management Science)

Combat Modeling (International Series in Operations Research & Management Science) Review

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Combat Modeling (International Series in Operations Research & Management Science) Feature

"Combat Modeling" is a systematic learning resource and reference text for the quantitative analysis of combat. After a brief overview, authors Washburn and Kress present individual chapters on shooting without feedback; shooting with feedback; target defense; attrition models; game theory and wargames; search; unmanned aerial vehicles; and terror and insurgency. Three appendices provide a review of basic probability concepts, probability distributions, and Markov models; an introduction to optimization models; and a discussion of Monte-Carlo simulations. Drawing on their many years of experience at the Naval Postgraduate School in Monterey, California, Washburn and Kress have created a reference that will provide the tools and techniques for analysts involved in the underpinnings of combat decisions. This is a book that can be used as a military manual, reference book, and textbook for military courses on this vital subject.

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An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology)

An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology) Review

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An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology) Feature

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, this book provides a foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students. Containing exercises and examples, this volume may be used as a textbook by first-year graduate and upper-level undergraduate students. The work may also be useful as a self-study reference for applications and further research.

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Decision Making Under Uncertainty in Electricity Markets (International Series in Operations Research & Management Science)

Decision Making Under Uncertainty in Electricity Markets (International Series in Operations Research & Management Science) Review

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Decision Making Under Uncertainty in Electricity Markets (International Series in Operations Research & Management Science) Feature

Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.

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Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53)

Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53) Review

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Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53) Feature

From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis

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Supermodularity and Complementarity

Supermodularity and Complementarity Review

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Supermodularity and Complementarity Feature

The economics literature is replete with examples of monotone comparative statics; that is, scenarios where optimal decisions or equilibria in a parameterized collection of models vary monotonically with the parameter. Most of these examples are manifestations of complementarity, with a common explicit or implicit theoretical basis in properties of a super-modular function on a lattice. Supermodular functions yield a characterization for complementarity and extend the notion of complementarity to a general setting that is a natural mathematical context for studying complementarity and monotone comparative statics. Concepts and results related to supermodularity and monotone comparative statics constitute a new and important formal step in the long line of economics literature on complementarity.

This monograph links complementarity to powerful concepts and results involving supermodular functions on lattices and focuses on analyses and issues related to monotone comparative statics. Don Topkis, who is known for his seminal contributions to this area, here presents a self-contained and up-to-date view of this field, including many new results, to scholars interested in economic theory and its applications as well as to those in related disciplines. The emphasis is on methodology. The book systematically develops a comprehensive, integrated theory pertaining to supermodularity, complementarity, and monotone comparative statics. It then applies that theory in the analysis of many diverse economic models formulated as decision problems, noncooperative games, and cooperative games.

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Handbooks in Operations Research and Management Science: Stochastic Programming (Hanbooks in Operations Research and Management Series)

Handbooks in Operations Research and Management Science: Stochastic Programming (Hanbooks in Operations Research and Management Series) Review

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Handbooks in Operations Research and Management Science: Stochastic Programming (Hanbooks in Operations Research and Management Series) Feature

Brings together leading in the most important sub-fields of stochastic programming to present a rigourous overview of basic models, methods and applications of stochastic programming. The text is intended for researchers, students, engineers and economists, who encounter in their work optimization problems involving uncertainty.

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Optimization in Economics and Finance: Some Advances in Non-Linear, Dynamic, Multi-Criteria and Stochastic Models (Dynamic Modeling and Econometrics in Economics and Finance)

Optimization in Economics and Finance: Some Advances in Non-Linear, Dynamic, Multi-Criteria and Stochastic Models (Dynamic Modeling and Econometrics in Economics and Finance) Review

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Optimization in Economics and Finance: Some Advances in Non-Linear, Dynamic, Multi-Criteria and Stochastic Models (Dynamic Modeling and Econometrics in Economics and Finance) Feature

Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.

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Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering)

Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering) Review

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Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering) Feature

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. This book brings the state-of-the-art research together for the first time. It provides practical modeling methods for many real-world problems with high dimensionality or complexity which have not hitherto been treatable with Markov decision processes.

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Mathematical Methods for Construction of Queueing Models (Wadsworth and Brooks Cole Operations Research Series)

Mathematical Methods for Construction of Queueing Models (Wadsworth and Brooks Cole Operations Research Series) Review

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