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Modeling Mineral and Energy Markets
by Walter C. LabysThis book provides a framework for analyzing and forecasting a variety of mineral and energy markets and related industries. Such modeling activity has been at the forefront of the economic and engineering professions for some time, having received a major stimulus fC?llowing the first oil price shock in 1973. Since that time, other shocks have affected these markets and industries, causing disequilibrium economic adjustments which are difficult to analyze and to predict. Moreover, geopolitics remains an important factor which can destabilize crude oil markets and associated refining industries. Mineral and energy modeling, consequently, has become a major interest of energy-related corporations, mining and drilling companies, metal manufacturers, public utilities, investment banks,. national government agencies and international organizations. This book hopes to advance mineral and energy modeling as follows: (1) The modeling process is presented sequentially by leading the model builder from model specification, estimation, simulation, and validation to practical model applications, including explaining history, analyzing policy, and market and price forecasting; (2) New developments in modeling approaches are presented which encompass econometric market and industry models, spatial equilibrium and programming models, optimal resource depletion models, input-output models, economic sector models, and macro oriented energy interaction models (including computable general equilibrium); (3) The verification and application of the models is considered not only individually but also in relation to the performance of alternative modeling approaches; and (4) The modeling framework includes a perspective on new directions, so that the present model building advice will extend into the future.
Modeling Multi-commodity Trade: Information Exchange Methods (Advances in Intelligent and Soft Computing #121)
by Mariusz Kaleta Tomasz TraczykThis book contains revised versions of papers presented on scientific workshop “Modeling Multi-commodity Trade: Information exchange methods”, which took place in November 2010 atWarsaw University of Technology. It summarizes results of the research work supported so far by scientific grant “Methods and architectures of information interchange for electronic trade on infrastructural markets” (see page xi), and some earlier research work on multi-commodity markets modeling. Though partial results of the research were published earlier, the book gives the most complete view on results of our research in the field of modeling the trade on complex multi-commodity infrastructural markets.
Modeling North American Economic Integration (Advanced Studies in Theoretical and Applied Econometrics #31)
by Timothy J. KehoeModeling North American Economic Integration presents descriptions of the models and the central results obtained by four teams of economic modelers who analyze the impact of the North American Free Trade Agreement (NAFTA) on the economies of Canada, Mexico and the USA. Preliminary versions of these four modeling efforts were presented at a conference with the same title as the book, held in March 1991 at the Federal Reserve Bank of Minneapolis and sponsored by El Colegio de Mexico and the Institute for Empirical Macroeconomics. The book also includes a Foreword by Jaime Serra-Puche, the former Secretary of Trade and Industrial Development in Mexico and that country's chief negotiator of NAFTA, plus two essays by the editors. The first provides an overview and discussion of the results obtained by the modeling groups, and the second provides a critical survey of the sort of applied general equilibrium model employed by these groups. A final chapter discusses the results of the models in relation to the 1994-95 financial crisis in Mexico.
Modeling of Land-Use and Ecological Dynamics (Cities and Nature)
by Dan Malkinson, Danny Czamanski and Itzhak BenensonAs cities are rapidly expanding and encroaching into agricultural and natural areas, a question of primary concern is how this expansion affects surrounding agriculture and natural landscapes. This book presents a wide spectrum of both theoretical and empirical approaches to simulation and assessment of landscape dynamics. The first part presents state-of-the-art modelling approaches pertaining to land-use changes entailed by the urban sprawl, at different spatial resolutions and temporal time scales. The second part is dedicated to case studies of the effects and consequences of the emerging urban-agriculture open space patterns.
Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid (Studies in Systems, Decision and Control #434)
by Moussa Labbadi Kamal Elyaalaoui Loubna Bousselamti Mohammed Ouassaid Mohamed CherkaouiThis book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.
Modeling Pension Systems
by A. SimonovitsThe issue of unfunded public pension systems have moved to the centre of public debate all over the world. Unfortunately, a large part of the discussions have remained on a qualitative level. This book seeks to address this by providing detailed knowledge on modelling pension systems.
Modeling Performance Measurement: Applications and Implementation Issues in DEA
by Wade D. Cook Joe ZhuThis volume addresses advanced DEA methodology and techniques developed for modeling unique new performance evaluation issues. Many numerical examples, real management cases and verbal descriptions make it very valuable for researchers and practitioners.
Modeling Risk Management for Resources and Environment in China (Computational Risk Management)
by Desheng Dash Wu and Yong ZhouThis edited volume expands the scope of risk management beyond finance to include resources and environment issues in China. It presents the state-of-the-art approaches of using risk management to effectively manage resources and environment. Both case studies and theoretical methodologies are discussed.
Modeling Risk Management in Sustainable Construction (Computational Risk Management)
by Desheng Dash WuIn this edited volume, we present the state-of-the-art views of the perspective of enterprise risk management, to include frameworks and controls in the ERM process with respect to supply chains, constructions, and project, energy, environmental and sustainable development risk management. The bulk of this volume is devoted to presenting a number of modeling approaches that have been (or could be) applied to enterprise risk management in construction.
Modeling School Leadership across Europe: in Search of New Frontiers
by Petros PashiardisThis book deals with effective school leadership and its essential role in improving the efficiency and equity of schooling. It provides school leaders with instruments and processes to examine the big picture of leadership as the key intermediary between the classroom, the individual school and its community, and the educational system as a whole. By doing so, it increases school leaders’ level of awareness with regards to systemic leadership. Furthermore, the book shows how organizational arrangements for schools have changed significantly over time and how school leaders have become involved in matters within and beyond their school’s borders. The book’s comparison of countries makes clear that, while school context and system-level differences have varying implications for the exercise of school leadership across countries, a number of global trends have impacted on schools across many countries around the world. In line with these changes, the roles and responsibilities of school leaders have expanded and intensified. Moreover, through the examination of school leaders’ epistemological beliefs, the book investigates the relationship between these beliefs and the exercise of school leadership.
Modeling Semantic Web Services: The Web Service Modeling Language
by Jos de Bruijn Mick Kerrigan Uwe Keller Holger Lausen James SciclunaSemantic Web services promise to automate tasks such as discovery, mediation, selection, composition, and invocation of services, enabling fully flexible automated e-business. Their usage, however, still requires a significant amount of human intervention due to the lack of support for a machine-processable description. In this book, Jos de Bruijn and his coauthors lay the foundations for understanding the requirements that shape the description of the various aspects related to Semantic Web services, such as the static background knowledge in the form of ontologies, the functional description of the service, and the behavioral description of the service. They introduce the Web Service Modeling Language (WSML), which provides means for describing the functionality and behavior of Web services, as well as the underlying business knowledge, in the form of ontologies, with a conceptual grounding in the Web Service Modeling Ontology. Academic and industrial researchers as well as professionals will find a comprehensive overview of the concepts and challenges in the area of Semantic Web services, the Web Services Modeling Language and its relation to the Web Services Modeling Ontology, and an in-depth treatment of both enabling technologies and theoretical foundations.
Modeling Software Behavior: A Craftsman's Approach
by Paul C. JorgensenThis book provides engineers, developers, and technicians with a detailed treatment of various models of software behavior that will support early analysis, comprehension, and model-based testing. The expressive capabilities and limitations of each behavioral model are also discussed.
Modeling Software Markets: Empirical Analysis, Network Simulations, and Marketing Implications (Information Age Economy)
by Falk Graf WestarpAs social beings, humans are not living in isolation but rather interact and communicate within their social network via language, meant to convey parts of some conceptualization from the sender to a single recipient or a set of recipients. Communities of agents not only share a common language but also the individual conceptualizations of the world (real and abstract) have to overlap to a significant extent, allowing for efficient reference to whole conceptual structures like "the German constitution", "game theory" or "medical sciences". For "societies" of interacting technical devices or software agents the situation is not quite as Babylonian since although these agents are meant to act individually (and also have a private state and private knowledge) in most cases they are designed to refer to one common ontology or standardized protocol and thus do not have to deal with misunderstanding. However, the more these systems become interconnected, the more this situation resembles the one described for societies of human agents even though the misunderstanding might be easier to detect when the different reference ontologies are made explicit and published. Obviously, in both cases standardization of a common language or set of rules for interaction reduces the individual degree of freedom for the sake of compatibility and benefits derived from interaction. In his work, Falk Graf von Westarp addresses the software market as a domain strongly depending on compatibility effects of the individuals' decisions.
Modeling Spatial and Economic Impacts of Disasters (Advances in Spatial Science)
by Yasuhide Okuyama Stephanie E. ChangThis volume is dedicated to the memory of Barclay G. Jones, Professor of City and Regional Planning and Regional Science at Cornell University. Over a decade ago, Barclay took on a fledgling area of study - economic modeling of disasters - and nurtured its early development. He served as the social science program director at the National Center for Earthquake Engineering Research (NCEER), a university consortium sponsored by the National Science Foundation and the Federal Emergency Management Agency of the United States. In this capacity, Barclay shepherded and attracted a number of regional scientists to the study of disasters. He organized a conference, held in the ill-fated World Trade Center in September 1995, on "The Economic Consequences of Earthquakes: Preparing for the Unexpected. " He persistently advocated the importance of social science research in an establishment dominated by less-than-sympathetic natural scientists and engineers. In 1993, Barclay organized the first of a series of sessions on "Measuring Regional Economic Effects of Unscheduled Events" at the North American Meetings of the Regional Science Association International (RSAI). This unusual nomenclature brought attention to the challenge that disasters -largely unanticipated, often sudden, and always disorderly - pose to the regional science modeling tradition. The sessions provided an annual forum for a growing coalition of researchers, where previously the literature had been fragmentary, scattered, and episodic. Since Barclay's unexpected passing in 1997, we have continued this effort in his tradition.
Modeling Structured Finance Cash Flows with Microsoft Excel: A Step-by-Step Guide (Wiley Finance #370)
by Keith A. AllmanA practical guide to building fully operational financial cash flow models for structured finance transactions Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go. Modeling Structured Finance Cash Flows with Microsoft Excel provides readers with the information they need to build a cash flow model for structured finance and securitization deals. Financial professional Keith Allman explains individual functions and formulas, while also explaining the theory behind the spreadsheets. Each chapter begins with a discussion of theory, followed by a section called "Model Builder," in which Allman translates the theory into functions and formulas. In addition, the companion website features all of the modeling exercises, as well as a final version of the model that is created in the text. Note: Companion website and other supplementary materials are not included as part of eBook file.
Modeling Structured Finance Cash Flows with Microsoft Excel: A Step-by-Step Guide (Wiley Finance #370)
by Keith A. AllmanA practical guide to building fully operational financial cash flow models for structured finance transactions Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go. Modeling Structured Finance Cash Flows with Microsoft Excel provides readers with the information they need to build a cash flow model for structured finance and securitization deals. Financial professional Keith Allman explains individual functions and formulas, while also explaining the theory behind the spreadsheets. Each chapter begins with a discussion of theory, followed by a section called "Model Builder," in which Allman translates the theory into functions and formulas. In addition, the companion website features all of the modeling exercises, as well as a final version of the model that is created in the text. Note: Companion website and other supplementary materials are not included as part of eBook file.
Modeling the Distribution and Intergenerational Transmission of Wealth (National Bureau of Economic Research Studies in Income and Wealth #46)
by James D. SmithThis pioneering volume uses modern statistical and simulation techniques to explain the process of wealth transmission and the persistent problem of the unequal distribution of wealth. These papers reflect a shift from the traditional cross-sectional measurement to an intertemporal focus by attempting to model mathematically the actual process by which wealth is acquired and transmitted. There are many questions to be answered: What are the factors influencing saving? What is the role of mating? What decides ownership between spouses? How are rare assets distributed by divorce? What are the patterns of behavior in making gifts and bequests? And what is the effect of the relative ages of the persons involved?
Modeling the Renewable Energy Transition in Canada: Techno-economic Assessments for Energy Management (SpringerBriefs in Energy)
by Tanveer AhmedThe work demonstrates a techno-economic model of power generation for the cost-effective integration of renewable energy sources, with the goal of reducing greenhouse gas emissions in Canada. The methodological approach outlined by the author is based on periodic simulation of price variations. The result demonstrates that a 10% transition to renewable energy generation is possible, practical and affordable when supported by an effective policy framework that does not need to introduce a feed-in tariff or loan-based financial mode.
Modeling Time-Varying Unconditional Variance by Means of a Free-Knot Spline-GARCH Model (Gabler Theses)
by Oliver OldThe book addresses the problem of a time-varying unconditional variance of return processes utilizing a spline function. The knots of the spline functions are estimated as free parameters within a joined estimation process together with the parameters of the mean, the conditional variance and the spline function. With the help of this method, the knots are placed in regions where the unconditional variance is not smooth. The results are tested within an extensive simulation study and an empirical study employing the S&P500 index.
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications (International Series in Operations Research & Management Science #46)
by Ferenc Szidarovszky Moshe Dror Pierre LécuyerModeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.
Modeling with Stochastic Programming (Springer Series in Operations Research and Financial Engineering)
by Alan J. King Stein W. WallaceWhile there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental issues are. The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty. Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York. Stein W. Wallace is a Professor of Operational Research at Lancaster University Management School in England.
Modeling with Stochastic Programming (Springer Series in Operations Research and Financial Engineering)
by Alan J. King Stein W. WallaceThis is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are. The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty. Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York. Stein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.
Modeling with UML: Language, Concepts, Methods
by Bernhard RumpeThis book presents a variant of UML that is especially suitable for agile development of high-quality software. It adjusts the language UML profile, called UML/P, for optimal assistance for the design, implementation, and agile evolution to facilitate its use especially in agile, yet model based development methods for data intensive or control driven systems. After a general introduction to UML and the choices made in the development of UML/P in Chapter 1, Chapter 2 includes a definition of the language elements of class diagrams and their forms of use as views and representations. Next, Chapter 3 introduces the design and semantic facets of the Object Constraint Language (OCL), which is conceptually improved and syntactically adjusted to Java for better comfort. Subsequently, Chapter 4 introduces object diagrams as an independent, exemplary notation in UML/P, and Chapter 5 offers a detailed introduction to UML/P Statecharts. Lastly, Chapter 6 presents a simplified form of sequence diagrams for exemplary descriptions of object interactions. For completeness, appendixes A–C describe the full syntax of UML/P, and appendix D explains a sample application from the E-commerce domain, which is used in all chapters. This book is ideal for introductory courses for students and practitioners alike.
Modell „Bad Bank“: Ein Praxisbericht zur Arbeit der Ersten Abwicklungsanstalt
by Markus Bolder Matthias WargersFachleute, die den Aufbau der Ersten Abwicklungsanstalt aktiv begleitet haben, tragen ihre Erkenntnisse in diesem Praxisbericht zusammen: aus finanzwissenschaftlicher, juristischer ebenso wie aus geschäftsbezogener Sicht. Die Autoren liefern Fakten, die für eine zielgerichtete Debatte um Kosten und Nutzen für die Allgemeinheit wichtig sind.
Modell-basierter Test eingebetteter Software im Automobil: Auswahl und Beschreibung von Testszenarien
by Mirko ConradMirko Conrad ergänzt mit der Klassifikationsbaum-Methode für eingebettete Systeme (CTM/ES) die Modell-basierte Entwicklung eingebetteter Fahrzeugsoftware durch einen neuartigen Ansatz zur systematischen Auswahl und Beschreibung von Testszenarien.