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George Donald A.R. Nonlinearity, Complexity and Randomness in Economics. Towards Algorithmic Foundations for Economics


Nonlinearity, Complexity and Randomness in Economics presents a variety of papers by leading economists, scientists, and philosophers who focus on different aspects of nonlinearity, complexity and randomness, and their implications for economics. A theme of the book is that economics should be based on algorithmic, computable mathematical foundations. Features an interdisciplinary collection of papers by economists, scientists, and philosophers Presents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexity Reveals how economics today must be based on algorithmic, computable mathematical foundations

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Edgar Peters E. Complexity, Risk, and Financial Markets


A groundbreaking look at complexity theory and its implications in the world of finance Complexity theory tells us that processes with a large number of seemingly independent agents-such as free markets-can spontaneously organize themselves into a coherent system. In this fascinating book, Edgar Peters brings together scientific theory, the artistic process, and economics to show how the randomness and uncertainty of complexity theory can be applied to financial markets. Written in an engaging and accessible style, this is a thoughtful, conceptual look at the way free markets are, by their nature, continually evolving complex systems. Expanding on previous explorations of chaos theory, Peters draws on real-life examples ranging from the Asian crisis to Americas love of conspiracy to show that complexity and randomness are necessary for the free markets to operate in a competitive manner.

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Anne Picker Dolganos International Economic Indicators and Central Banks


Praise for International Economic Indicators and Central Banks «Anne Pickers International Economic Indicators and Central Banks is a tour de force. It brings together a wealth of information, explanation, and guidance, which has hitherto only been available from disparate and frequently obscure sources, and does so with great clarity and authority. It will be an invaluable resource not only for investors but for all others involved in the fields of finance and economics.» –Donald R. Anderson, OBE FRSE (UK), International Economics Advisor, formerly chief economist, Courtaulds Group «Pickers book provides a comprehensive and up-to-date guide to the workings of key central banks, and to the economic data that informs their thinking and policy formation. The book should be required reading for those with more than a passing interest in financial markets and monetary policy formation.» –George Worthington, Chief Economist, Asia Pacific, Thomson-IFR (Australia) «International Economic Indicators and Central Banks is an invaluable guide for anyone doing business overseas or investing in international markets. It is thorough and precise enough for professional economists yet readily accessible to business people and investors. Anne Picker is not only an excellent communicator who demystifies central bank operations and technical economic indicators; she is also a top-notch economist with extensive experience in analyzing them. Dont read any international economic analysis without this volume close at hand.» –David A. Levy, Chairman, The Jerome Levy Forecasting Center

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Matthias Dehmer Advances in Network Complexity


A well-balanced overview of mathematical approaches to complex systems ranging from applications in chemistry and ecology to basic research questions on network complexity. Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib, well-known pioneers in the fi eld, have edited this volume with a view to balancing classical and modern approaches to ensure broad coverage of contemporary research problems. The book is a valuable addition to the literature and a must-have for anyone dealing with network compleaity and complexity issues.

17707.66 РУБ

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Veniamin Nazarov Nonlinear Acoustic Waves in Micro-inhomogeneous Solids


Nonlinear Acoustic Waves in Micro-inhomogeneous Solids covers the broad and dynamic branch of nonlinear acoustics, presenting a wide variety of different phenomena from both experimental and theoretical perspectives. The introductory chapters, written in the style of graduate-level textbook, present a review of the main achievements of classic nonlinear acoustics of homogeneous media. This enables readers to gain insight into nonlinear wave processes in homogeneous and micro-inhomogeneous solids and compare it within the framework of the book. The subsequent eight chapters covering: Physical models and mechanisms of the structure nonlinearity of micro-inhomogeneous media with cracks and cavities; Elastic waves in media with strong acoustic nonlinearity; Wave processes in micro-inhomogeneous media with hysteretic nonlinearity; Wave processes in nonlinear micro-inhomogeneous media with relaxation; Wave processes in the polycrystalline solids with dissipative and elastic nonlinearity caused by dislocations; Experimental studies of the nonlinear acoustic phenomena in polycrystalline rocks and metals; Experimental studies of nonlinear acoustic phenomena in granular media; and Nonlinear phenomena in seismic waves are dedicated to the theoretical and experimental research of nonlinear processes, caused by longitudinal elastic waves propagation and interaction in the micro-inhomogeneous media with a strong acoustical nonlinearity of different types (elastic, hysteretic, bimodular, elastic quadratic and non-elastic). This valuable monograph is intended for graduate students and researchers in applied physics, mechanical engineering, and applied mathematics, as well as those working in a wide spectrum of disciplines in materials science.

15905.42 РУБ

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Carole Engle R. Aquaculture Economics and Financing. Management Analysis


Aquaculture Economics and Financing: Management and Analysis provides a detailed and specific set of guidelines for using economic and financial analysis in aquaculture production. By discussing key issues such as how to finance and plan new aquaculture business, how to monitor and evaluate economic performance, and how to manage capital, labor, and business risk, the book equips aquaculture professionals, researchers, and students with important information applicable to a wide range of business decisions. Chapters address each stage of developing an aquaculture business, including financing, marketing, and developing a business plan to managing cash flows and analyzing financial statements. Each chapter includes a detailed example of practical application taken from every-day experience. Written in straightforward terminology facilitating ready application, Aquaculture Economics and Financing: Management and Analysis is an essential tool for analyzing and improving financial performance of aquaculture operations.

11935.05 РУБ

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Chunlei Tang The Data Industry. Business and Economics of Information Big


Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.

7224.36 РУБ

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Curlee Wanda Complexity Theory and Project Management


An insightful view on how to use the power of complexity theory to manage projects more successfully Current management practices require adherence to rigid, global responses unsuitable for addressing the changing needs of most projects. Complexity Theory and Project Management shifts this paradigm to create opportunities for expanding the decision-making process in ways that promote flexibility—and increase effectiveness. It informs readers on the managerial challenges of juggling project requirements, and offers them a clear roadmap on how to revise perspectives and reassess priorities to excel despite having an unpredictable workflow. Complexity Theory and Project Management provides remedies through the use of teaching notes, power point slides, a solutions manual, and a toolbox of answers to common project management problems to illustrate how the deployment of complexity theory can make a project more successful. One of the first books covering the subject of complexity theory for project management, this useful guide: Explains the relationship of complexity theory to virtual project management Supplies techniques, tips, and suggestions for building effective and successful teams in the virtual environment Presents current information about best practices and relevant proactive tools Makes a strong case for including complexity theory in PMI®s PMBOK® Guide Complexity Theory and Project Management gives a firsthand view on the future of complexity theory as a driving force in the management field, and allows project managers to get a head start in applying its principles immediately to produce more favorable outcomes. (PMI and PMBOK are registered marks of the Project Management Institute, Inc.)

11659.88 РУБ

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Ko Ker-I Theory of Computational Complexity


Praise for the First Edition «…complete, up-to-date coverage of computational complexity theory…the book promises to become the standard reference on computational complexity.» -Zentralblatt MATH A thorough revision based on advances in the field of computational complexity and readers’ feedback, the Second Edition of Theory of Computational Complexity presents updates to the principles and applications essential to understanding modern computational complexity theory. The new edition continues to serve as a comprehensive resource on the use of software and computational approaches for solving algorithmic problems and the related difficulties that can be encountered. Maintaining extensive and detailed coverage, Theory of Computational Complexity, Second Edition, examines the theory and methods behind complexity theory, such as computational models, decision tree complexity, circuit complexity, and probabilistic complexity. The Second Edition also features recent developments on areas such as NP-completeness theory, as well as: A new combinatorial proof of the PCP theorem based on the notion of expander graphs, a research area in the field of computer science Additional exercises at varying levels of difficulty to further test comprehension of the presented material End-of-chapter literature reviews that summarize each topic and offer additional sources for further study Theory of Computational Complexity, Second Edition, is an excellent textbook for courses on computational theory and complexity at the graduate level. The book is also a useful reference for practitioners in the fields of computer science, engineering, and mathematics who utilize state-of-the-art software and computational methods to conduct research. A thorough revision based on advances in the field of computational complexity and readers’feedback, the Second Edition of Theory of Computational Complexity presents updates to theprinciples and applications essential to understanding modern computational complexitytheory. The new edition continues to serve as a comprehensive resource on the use of softwareand computational approaches for solving algorithmic problems and the related difficulties thatcan be encountered.Maintaining extensive and detailed coverage, Theory of Computational Complexity, SecondEdition, examines the theory and methods behind complexity theory, such as computationalmodels, decision tree complexity, circuit complexity, and probabilistic complexity. The SecondEdition also features recent dev

12032.99 РУБ

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Hengqing Tong Developing Econometrics


Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.

11477.01 РУБ

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Paolo Brandimarte Handbook in Monte Carlo Simulation. Applications Financial Engineering, Risk Management, and Economics


An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

14458.25 РУБ

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Nigel Gilbert Agent-Based Modelling in Economics


Agent-based modelling in economics Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. Key features: Introduces the concept of agent-based modelling and shows how it differs from existing approaches. Provides a theoretical and methodological rationale for using ABM in economics, along with practical advice on how to design and create the models. Each chapter starts with a short summary of the relevant economic theory and then shows how to apply ABM. Explores both topics covered in basic economics textbooks and current important policy themes; unemployment, exchange rates, banking and environmental issues. Describes the models in pseudocode, enabling the reader to develop programs in their chosen language. Supported by a website featuring the NetLogo models described in the book. Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.

4938.56 РУБ

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M. J. Alhabeeb Managerial Economics. A Mathematical Approach


Uncertainty is present in every managerial decision, and Managerial Economics: A Mathematical Approach effectively demonstrates the application of higher-level statistical tools to inform and clarify the logic of problem solving in a managerial environment. While illuminating managerial decision-making from all possible angles, this book equips readers with the tools and skills needed to recognize and address uncertainty. The book also explores individual, firm, and market-level decisions; discusses all possible risks and uncertainties encountered in the decision-making process; and prepares readers to deal with both epistemic and aleatory uncertainty in managerial decisions. Managerial Economics features: • An emphasis on practical application through real-life examples and problems • An accessible writing style that presents technical theories in a user-friendly way • A mathematical and statistical point of view that reveals the presence of uncertainty inherent in managerial decisions • Thoroughly class-tested material including problems at the end of each chapter, case study questions, review exercises, and objectives that summarize the main discussions Managerial Economics is an excellent book for upper-undergraduate and graduate-level courses in business and economics departments. The book is also an ideal reference and resource for managers, decision makers, market analysts, and researchers who require information about the theoretical and quantitative aspects of the topic.

13013.45 РУБ

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Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R


Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.

8025.16 РУБ

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Armin Bunde Extreme Events and Natural Hazards. The Complexity Perspective


Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 196. Extreme Events and Natural Hazards: The Complexity Perspective examines recent developments in complexity science that provide a new approach to understanding extreme events. This understanding is critical to the development of strategies for the prediction of natural hazards and mitigation of their adverse consequences. The volume is a comprehensive collection of current developments in the understanding of extreme events. The following critical areas are highlighted: understanding extreme events, natural hazard prediction and development of mitigation strategies, recent developments in complexity science, global change and how it relates to extreme events, and policy sciences and perspective. With its overarching theme, Extreme Events and Natural Hazards will be of interest and relevance to scientists interested in nonlinear geophysics, natural hazards, atmospheric science, hydrology, oceanography, tectonics, and space weather.

11567.89 РУБ

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Peter Antonioni Economics For Dummies


Untangle the jargon and understand how youre involved in everyday economics If you want to get to grips with the basics of economics and understand a subject that affects British citizens on a daily basis, then look no further than Economics For Dummies. This easy to understand guide takes you through the world of economics from understanding micro- and macroeconomics to demystifying complex topics such as capitalism and recession. This updated edition walks you through the history, principles and theories of economics as well as breaking down all the complicated terminology, leaving you clued up on economics in no time. Getting to grips – explore the science of economics and how people deal with scarcity Keeping an eye on it – learn all about macroeconomics and how economists keep track of everything Watch patterns emerge – understand why monitoring consumer behaviour is vital and all you need to know about microeconomics Your recession guide – expert advice on recessions and a detailed look at why they occur Open the book and find: Why you should care about economics and how it affects you Tools to help you understand a recession A guide to seductive economic fallacies All you need to know on monetary and fiscal policies How supply and demand can be made easy Why its vital to track consumer choices An in-depth look at a profit-maximising firm and the core of capitalism Guidance on property rights and wrongs Learn to: Look through economic history and spot the trends Understand micro- and macroeconomics Get to grips with consumer behaviour and its influence on the economy Spot the signs of a recession and see how economic decisions affect you

2172.62 РУБ

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Morris Altman Behavioral Economics For Dummies


A guide to the study of how and why you really make financial decisions While classical economics is based on the notion that people act with rational self-interest, many key money decisions—like splurging on an expensive watch—can seem far from rational. The field of behavioral economics sheds light on the many subtle and not-so-subtle factors that contribute to our financial and purchasing choices. And in Behavioral Economics For Dummies, readers will learn how social and psychological factors, such as instinctual behavior patterns, social pressure, and mental framing, can dramatically affect our day-to-day decision-making and financial choices. Based on psychology and rooted in real-world examples, Behavioral Economics For Dummies offers the sort of insights designed to help investors avoid impulsive mistakes, companies understand the mechanisms behind individual choices, and governments and nonprofits make public decisions. A friendly introduction to the study of how and why people really make financial decisions The author is a professor of behavioral and institutional economics at Victoria University An essential component to improving your financial decision-making (and even to understanding current events), Behavioral Economics For Dummies is important for just about anyone who has a bank account and is interested in why—and when—they spend money.

1709.34 РУБ

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Henty George Alfred In the Irish Brigade: A Tale of War in Flanders and Spain

Wayne Talley K. The Blackwell Companion to Maritime Economics


The Blackwell Companion to Maritime Economics presents comprehensive and in-depth coverage of the entire scope of issues relating to shipping and port economics. Unprecedented survey of maritime economics provides full coverage of shipping and port economics In depth examinations offer an up-to-date study of the field including all facets of shipping, ports, logistics, and maintenance and topical discussion on security and environmental problems Presents original theories relating to theories for maritime carriers and ports Features contributions from the most respected international specialists in the field

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Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under non–linear, multivariable conditions, more quickly than ever before. Optimization is an important tool for decision science and for the analysis of physical systems used in engineering. Nonlinear Parameter Optimization with R explores the principal tools available in R for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. Nonlinear Parameter Optimization with R: Provides a comprehensive treatment of optimization techniques Examines optimization problems that arise in statistics and how to solve them using R Enables researchers and practitioners to solve parameter determination problems Presents traditional methods as well as recent developments in R Is supported by an accompanying website featuring R code, examples and datasets Researchers and practitioners who have to solve parameter determination problems who are users of R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco-kinetics, agriculture, economics and statistics.

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Philip Dawid Causality. Statistical Perspectives and Applications


A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the readers understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

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Mark Gardener The Essential R Reference


An essential library of basic commands you can copy and paste into R The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and thats where this unique book comes in. A companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, this practical reference is a library of basic R commands that you can copy and paste into R to perform many types of statistical analyses. Whether youre in technology, science, medicine, business, or engineering, you can quickly turn to your topic in this handy book and find the commands you need. Comprehensive command reference for the R programming language and a companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics Combines elements of a dictionary, glossary, and thesaurus for the R language Provides easy accessibility to the commands you need, by topic, which you can cut and paste into R as needed Covers getting, saving, examining, and manipulating data; statistical test and math; and all the things you can do with graphs Also includes a collection of utilities that youll find useful Simplify the complex statistical R programming language with The Essential R Reference. .

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Charlotte Perkins Gilman Women and Economics (The Economic Relation Between Men as a Factor in Social Evolution)

Джордж Р. Мартин Dangerous Women. Part I


Commissioned by George R.R. Martin and Gardner Dozois, these tales of dangerous women by the most stellar names in fiction are available for the first time in three-volume paperback. George R.R. Martin is the bestselling author of A Song of Ice and Fire, the inspiration for HBO’s hit series GAME OF THRONES. This first volume features an original 35,000 word novella by George R.R. Martin.‘The Princess and the Queen reveals the origins of the civil war in Westeros (before the events in A Game of Thrones), which is known as the Dance of the Dragons, pitting Targaryen against Targaryen and dragon against dragon. Other authors in this volume of warriors, bad girls and dragonriders include worldwide bestselling authors Brandon Sanderson, Lawrence Block and Nancy Kress. DANGEROUS WOMEN 1 [ul]Gardner Dozois’s introduction George R. R. Martin, ‘The Princess and the Queen’ Carrie Vaughn, ‘Raisa Stepanova’ Nancy Kress,’“Second Arabesque, Very Slowly’ Lawrence Block, ‘I Know How to Pick ‘Em’ Megan Abbott, ‘My Heart Is Either Broken’ Joe R. Lansdale, ‘Wrestling Jesus’ Brandon Sanderson, ‘Shadows for Silence in the Forests of Hell’[/ul]

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Julia Romp A Friend Like Ben: The true story of the little black and white cat that saved my son


Originally published as Ben’s Gift.The heart-warming true story of a little boy and the cat that changed his life.Nine-year-old George was severely autistic; quiet and withdrawn, he appeared lost in his own world most of the time. His mother Julia despaired as she couldn’t bring George out of his shell. But when a black-and-white stray cat appeared in their garden, everything changed.George’s new four-legged friend, Ben, had a wonderful and unexpected side-affect. George and Ben bonded and George began to open up, making up stories about their adventures together to recount to Julia. Finally, Julia could communicate with her son – and Ben had made it possible.But then disaster struck – Ben went missing. The cat who had coaxed George out of a world of silence had disappeared, and George began to retreat. Determined to reunite George with his furry friend, Julia knew she had to do everything in her power to bring Ben home again …A Friend Like Ben is the remarkable true story about the extraordinary empathy between a boy and his cat, and a mother’s determined journey to make her son whole again.

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Brian Pavlac A. Game of Thrones versus History. Written in Blood


Since it first aired in 2011, Game of Thrones galloped up the ratings to become the most watched show in HBO’s history. It is no secret that creator George R.R. Martin was inspired by late 15th century Europe when writing A Song of Ice and Fire, the sprawling saga on which the show is based. Aside from the fantastical elements, Game of Thrones really does mirror historic events and bloody battles of medieval times—but how closely? Game of Thrones versus History: Written in Blood is a collection of thought-provoking essays by medieval historians who explore how the enormously popular HBO series and fantasy literature of George R. R. Martin are both informed by and differ significantly from real historical figures, events, beliefs, and practices of the medieval world. From a variety of perspectives, the authors delve into Martin’s plots, characterizations, and settings, offering insights into whether his creations are historical possibilities or pure flights of fantasy. Topics include the Wars of the Roses, barbarian colonizers, sieges and the nature of medieval warfare, women and agency, slavery, celibate societies in Westeros, myths and legends of medieval Europe, and many more. While life was certainly not a game during the Middle Ages, Game of Thrones versus History: Written in Blood reveals how a surprising number of otherworldly elements of George R. R. Martin’s fantasy are rooted deeply in the all-too-real world of medieval Europe. Find suggested readings, recommended links, and more from editor Brian Pavlac at gameofthronesversushistory.com.

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Logan Caroline Self-Harm and Violence. Towards Best Practice in Managing Risk Mental Health Services


Self-Harm and Violence: Towards Best Practice in Managing Risk in Mental Health Services presents the first exploration of the most effective clinical practice techniques relating to the management of risk in mental health care settings. Based on the Department of Health’s Best Practice in Managing Risk guidance document, which was developed over a 12-month period in consultation with a national expert advisory group Features contributions from many members of the group that drew up the Best Practice document – all leading theoreticians and practitioners in their particular fields – and embeds the principles laid out in the guidelines in real world practice Reveals how contemporary risk management is a multidisciplinary and collaborative enterprise in which practitioners from different professions need to engage with each other in order to achieve success

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Джордж Р. Мартин A Clash of Kings


HBO’s hit series A GAME OF THRONES is based on George R. R. Martin’s internationally bestselling series A SONG OF ICE AND FIRE, the greatest fantasy epic of the modern age. A CLASH OF KINGS is the second volume in the series. Throughout Westeros, the cold winds are rising. From the ancient citadel of Dragonstone to the forbidding lands of Winterfell, chaos reigns as pretenders to the Iron Throne of the Seven Kingdoms stake their claims through tempest, turmoil and war. As a prophecy of doom cuts across the sky – a comet the colour of blood and flame – five factions struggle for control of a divided land. Brother plots against brother and the dead rise to walk in the night. Against a backdrop of incest, fratricide, alchemy and murder, the price of glory is measured in blood.

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Herbert Robinson Design Economics for the Built Environment. Impact of Sustainability on Project Evaluation


The drive towards environmentally friendly buildings and infrastructure has led to a growing interest in providing design solutions underpinned by the core principles of sustainability to balance economic, social and environmental factors. Design Economics for the Built Environment: Impact of sustainability on project evaluation presents new directions, reflecting the need to recognise the impact of climate change and the importance of sustainability in project evaluation. The aim is to provide a new approach to understanding design economics in the context of the changing policy environment, legislative and regulatory framework, and increasing economic, environmental and social pressure as result of the sustainability agenda. The book follows a structured approach from theories and principles in the earlier chapters, to the practical applications and emerging techniques focusing on value and social, economic and environmental considerations in making design decisions. It starts with the policy context, building on various theories and principles such as, capital cost, value of design and resource-based theories, the new rules of measurement (NRM) to explore cost planning, the relationship between height and costs, key socio-economic and environmental variables for design appraisal, eco-cost/value ratio (EVR), whole life theory and the treatment of carbon emission as external costs, productivity and efficiency, fiscal drivers and legal framework for carbon reduction, procurement and allocation of risks in contracts. Case studies, practical examples and frameworks throughout reinforce theories and principles and relate them to current practice. The book is essential reading for postgraduate students in architecture, building and quantity surveying and is also a valuable resource for academics, consultants and policy-makers in the built environment.

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Kuhnt Sonja Statistical Hypothesis Testing with SAS and R


A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test. A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Examples in both SAS and R are provided, along with program code to perform the test, resulting output and remarks explaining the necessary program parameters. Key features: • Provides examples in both SAS and R for each test presented. • Looks at the most common statistical tests, displayed in a clear and easy to follow way. • Supported by a supplementary website http://www.d-taeger.de featuring example program code. Academics, practitioners and SAS and R programmers will find this book a valuable resource. Students using SAS and R will also find it an excellent choice for reference and data analysis.

9416.52 РУБ

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Wu George The Wiley Blackwell Handbook of Judgment and Decision Making


A comprehensive, up-to-date examination of the most important theory, concepts, methodological approaches, and applications in the burgeoning field of judgment and decision making (JDM) Emphasizes the growth of JDM applications with chapters devoted to medical decision making, decision making and the law, consumer behavior, and more Addresses controversial topics from multiple perspectives – such as choice from description versus choice from experience – and contrasts between empirical methodologies employed in behavioral economics and psychology Brings together a multi-disciplinary group of contributors from across the social sciences, including psychology, economics, marketing, finance, public policy, sociology, and philosophy 2 Volumes

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Pierre Verlinden Photovoltaic Solar Energy. From Fundamentals to Applications


Solar PV is now the third most important renewable energy source, after hydro and wind power, in terms of global installed capacity. Bringing together the expertise of international PV specialists Photovoltaic Solar Energy: From Fundamentals to Applications provides a comprehensive and up-to-date account of existing PV technologies in conjunction with an assessment of technological developments. Key features: Written by leading specialists active in concurrent developments in material sciences, solar cell research and application-driven R&D. Provides a basic knowledge base in light, photons and solar irradiance and basic functional principles of PV. Covers characterization techniques, economics and applications of PV such as silicon, thin-film and hybrid solar cells. Presents a compendium of PV technologies including: crystalline silicon technologies; chalcogenide thin film solar cells; thin-film silicon based PV technologies; organic PV and III-Vs; PV concentrator technologies; space technologies and economics, life-cycle and user aspects of PV technologies. Each chapter presents basic principles and formulas as well as major technological developments in a contemporary context with a look at future developments in this rapidly changing field of science and engineering. Ideal for industrial engineers and scientists beginning careers in PV as well as graduate students undertaking PV research and high-level undergraduate students.

12651.63 РУБ

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Michael Chernick R. An Introduction to Bootstrap Methods with Applications R


A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the books R subroutines, and an extensive listing of references provides resources for further study. Discussing the topic at a remarkably practical and accessible level, An Introduction to Bootstrap Methods with Applications to R is an excellent book for introductory courses on bootstrap and resampling methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for practitioners working with data in engineering, medicine, and the social sciences who would like to acquire a basic understanding of bootstrap methods.

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