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| dqtest: Predictive Econometrics and Big Data Vladik Kreinovich, Songsak Sriboonchitta, Nopasit Chakpitak, 2017-11-30 This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data. |
| dqtest: Prediction and Causality in Econometrics and Related Topics Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich, 2021-07-26 This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction. |
| dqtest: STAT/LIBRARY , 1987 |
| dqtest: CA ViaR Robert F. Engle, Simone Manganelli, 1999 |
| dqtest: Dynamics and Control of Mechanical Systems: The Falling Cat and Related Problems Michael J. Enos, 1993 This book contains a collection of papers presented at the Fields Institute workshop, ``The Falling Cat and Related Problems,'' held in March 1992. The theme of the workshop was the application of methods from geometric mechanics and mathematical control theory to problems in the dynamics and control of freely rotating systems of coupled rigid bodies and related nonholonomic mechanical systems. This book will prove useful in providing insight into this new and exciting area of research. |
| dqtest: Complexity in Economic and Social Systems Stanisław Drożdż, Jarosław Kwapien, Paweł Oświęcimka, 2021-05-11 There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure. |
| dqtest: Advances in Clinical Chemistry , 2015-02-08 Volume 68 in the internationally acclaimed Advances in Clinical Chemistry contains chapters authored by world renowned clinical laboratory scientists, physicians and research scientists. The serial provides the latest and most up-to-date technologies related to the field of Clinical Chemistry and is the benchmark for novel analytical approaches in the clinical laboratory. - Expertise of international contributors - Latest cutting-edge technologies - Comprehensive in scope |
| dqtest: Structural Changes and their Econometric Modeling Vladik Kreinovich, Songsak Sriboonchitta, 2018-11-24 This book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing before-structural-changes models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems. Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena – and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation. |
| dqtest: Advanced Models of Energy Forecasting Xun Zhang, Bo Meng, Lean Yu, 2022-11-23 |
| dqtest: Handbook of Economic Forecasting Graham Elliott, Allan Timmermann, 2013-08-23 The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. - Focuses on innovation in economic forecasting via industry applications - Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications - Makes details about economic forecasting accessible to scholars in fields outside economics |
| dqtest: Conditional Autoregressive Value at Risk and Other Essays in Financial Econometrics Simone Manganelli, 2000 |
| dqtest: Extreme Values and Financial Risk Saralees Nadarajah, Stephen Chan, 2019-01-15 This book is a printed edition of the Special Issue Extreme Values and Financial Risk that was published in JRFM |
| dqtest: Language Intervention Donald F. Tibbits, 1995 |
| dqtest: Measure of Serial Dependence and Testing for Conditional Quantile Models Wenjie Zhang, 2008 |
| dqtest: Commodities M. A. H. Dempster, Ke Tang, 2022-12-16 Since a major source of income for many countries comes from exporting commodities, price discovery and information transmission between commodity futures markets are key issues for continued economic development. Commodities: Fundamental Theory of Futures, Forwards, and Derivatives Pricing, Second Edition covers the fundamental theory of and derivatives pricing for major commodity markets, as well as the interaction between commodity prices, the real economy, and other financial markets. After a thoroughly updated and extensive theoretical and practical introduction, this new edition of the book is divided into five parts – the fifth of which is entirely new material covering cutting-edge developments. Oil Products considers the structural changes in the demand and supply for hedging services that are increasingly determining the price of oil Other Commodities examines markets related to agricultural commodities, including natural gas, wine, soybeans, corn, gold, silver, copper, and other metals Commodity Prices and Financial Markets investigates the contemporary aspects of the financialization of commodities, including stocks, bonds, futures, currency markets, index products, and exchange traded funds Electricity Markets supplies an overview of the current and future modelling of electricity markets Contemporary Topics discuss rough volatility, order book trading, cryptocurrencies, text mining for price dynamics and flash crashes |
| dqtest: Flux April Rinne, 2021-08-24 “A reassuring, hands-on guide to treating unexpected events as challenges to embrace rather than obstacles to avoid.” —Adam Grant, #1 New York Times–bestselling author of Think Again Being adaptable and flexible have always been hallmarks of effective leadership and a fulfilling life. But in a world of so much—and faster-paced—change, and an ever-faster pace of change, flexibility and resilience can be stretched to their breaking points. The quest becomes how to find calm and lasting meaning in the midst of enduring chaos. A world in flux calls for a new mindset, one that treats constant change and uncertainty as a feature, not a bug. Flux helps readers open this mindset—a flux mindset—and develop eight “flux superpowers” that flip conventional ideas about leadership, success, and well-being on their heads. They empower people to see change in new ways, craft new responses, and ultimately reshape their relationship to change from the inside out. April Rinne defines these eight flux superpowers: Run slower. See what’s invisible. Get lost. Start with trust. Know your “enough.” Create your portfolio career. Be all the more human (and serve other humans). Let go of the future. Whether readers are sizing up their career, reassessing their values, designing a product, building an organization, trying to inspire their colleagues, or simply showing up more fully in the world, enjoying a flux mindset and activating their flux superpowers will keep readers grounded even when the ground is too often shifting beneath them. “You’ll never look at change and uncertainty in the same way again.” —Chip Conley, founder of Modern Elder Academy and New York Times–bestselling author |
| dqtest: Working Paper Series , 1999 |
| dqtest: Essays on the Volatility of the Term Structure of Interest Rates Miguel A. Ferreira, 2000 |
| dqtest: A Digital Signal Processor for Particle Detectors Arild Velure, 2021-04-12 To cope with the new running conditions in the ALICE experiment at the Large Hadron Collider at CERN, a new integrated circuit named SAMPA has been created that can process 32 analogue channels, convert them to digital, perform filtering and compression, and transmit the data on high speed links to the data acquisition system. The main purpose of this work is to specify, design, test and verify the digital signal processing part of the SAMPA device to accommodate the requirements of the detectors involved. Innovative solutions have been employed to reduce the bandwidth required by the detectors, as well as adaptations to ease data handling later in the processing chain. The new SAMPA device was built to replace two existing circuits, in addition to reducing the current consumption, and doubling the amount of processing channels. About 50000 of the devices will be installed in the Time Projection Chamber and Muon Chamber detectors in the ALICE experiment. |
| dqtest: Econometrics of Green Energy Handbook Muhammad Shahbaz, Daniel Balsalobre-Lorente, 2020-06-17 This book gathers cutting-edge studies on the relationship between energy innovations, economic growth, environmental regulation, promotion of renewable energy use, and climate change. Building on the research discussed in the editor’s previous book Decarbonization and Energy Technology in the Era of Globalization, it discusses recent developments such as the impacts of globalization and energy efficiency on economic growth and environmental quality. It also explores the ways in which globalization has benefited green energy development, e.g. the expansion of new technologies and cleaner machinery, as well as the problems it has caused. Written by respected experts, the respective contributions address topics including econometric modelling of the behaviour of and dynamics between economic growth and environmental quality, aspects of energy production and consumption, oil prices, economic growth, trade openness, environmental quality, regulatory measures, and innovations in the energy sector. Providing a comprehensive overview of the latest research, the book offers a valuable reference guide for researchers, policymakers, practitioners and students in the fields of renewable energy development and economics. |
| dqtest: Time Series Analysis: Methods and Applications Tata Subba Rao, Suhasini Subba Rao, C.R. Rao, 2012-06-26 'Handbook of Statistics' is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with volume 30 dealing with time series. |
| dqtest: NASA SP. , 1969 |
| dqtest: Proceedings of Eighth International Congress on Information and Communication Technology Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi, 2023-07-29 This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes. |
| dqtest: Advancements in Teleoperator Systems , 1970 |
| dqtest: Finite Difference Modeling of TiB2-A1 Thin Film Combustion Karl Ewald, 1998 |
| dqtest: Readings in Machine Learning Jude W. Shavlik, Thomas Glen Dietterich, 1990 The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors. |
| dqtest: Consolidation of Crushed Rock Salt David Joseph Holcomb, 1988 |
| dqtest: Encyclopedia of Finance Cheng-Few Lee, Alice C. Lee, 2022-09-12 The Encyclopedia of Finance comprehensively covers the broad spectrum of terms and topics relating finance from asset pricing models to option pricing models to risk management and beyond. This third edition is comprised of over 1,300 individual definitions, chapters, appendices and is the most comprehensive and up-to-date resource in the field, integrating the most current terminology, research, theory, and practical applications. It includes 200 new terms and essays; 25 new chapters and four new appendices. Showcasing contributions from an international array of experts, the revised edition of this major reference work is unparalleled in the breadth and depth of its coverage. |
| dqtest: Risk-Return Relationship and Portfolio Management Raj S. Dhankar, 2019-10-24 This book covers all aspects of modern finance relating to portfolio theory and risk–return relationship, offering a comprehensive guide to the importance, measurement and application of the risk–return hypothesis in portfolio management. It is divided into five parts: Part I discusses the valuation of capital assets and presents various techniques and models used in this context. Part II then addresses market efficiency and capital market models, particularly focusing on measuring market efficiency, which is a crucial factor in making correct investment decisions. It also analyzes the major capital market models like CAPM and APT to determine to what extent they are suitable for use in developing economies. Part III highlights the significance of risk–return analysis as a prerequisite for investment decisions, while Part IV examines the selection and performance appraisals of portfolios against the backdrop of the risk–return relationship. It also examines new tools such as the value-at-risk application for mutual funds and the applications of the price-to-earnings ratio in portfolio performance measurement. Lastly, Part V explores contemporary issues in finance, including the relevance of Islamic finance in the increasingly volatile global financial system. |
| dqtest: Mathematical and Statistical Methods for Actuarial Sciences and Finance Marco Corazza, Cira Perna, Claudio Pizzi, Marilena Sibillo, 2022-04-11 The cooperation and contamination among mathematicians, statisticians and econometricians working in actuarial sciences and finance are improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas in the form of four- to six-page papers presented at the International Conference MAF2022 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the COVID-19 pandemic, the conference, to which this book is related, was organized in a hybrid form by the Department of Economics and Statistics of the University of Salerno, with the partnership of the Department of Economics of Cà Foscari University of Venice, and was held from 20 to 22 April 2022 in Salerno (Italy) MAF2022 is the tenth edition of an international biennial series of scientific meetings, started in 2004 on the initiative of the Department of Economics and Statistics of the University of Salerno. It has established itself internationally with gradual and continuous growth and scientific enrichment. The effectiveness of this idea has been proven by the wide participation in all the editions, which have been held in Salerno (2004, 2006, 2010, 2014, 2022), Venice (2008, 2012 and 2020 online), Paris (2016) and Madrid (2018). This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioural finance, credit risk methods and models, dynamic optimization in finance, financial data analytics, forecasting dynamics of actuarial and financial phenomena, foreign exchange markets, insurance models, interest rate models, longevity risk, models and methods for financial time series analysis, multivariate techniques for financial markets analysis, pension systems, portfolio selection and management, real-world finance, risk analysis and management, trading systems, and others. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge. |
| dqtest: Knowledge and Cognition Lee W. Gregg, 2013-08-21 First Published in 1974. This volume is a collection of the papers presented at the Ninth Annual Symposium on Cognition, held at Carnegie-Mellon University in May 1973. The subject of the symposium was knowledge, or rather its internal representation in human memory, or in computer systems. Of all the recent symposia in this series, this one represents a meeting of the minds, in that all of the participants were strongly oriented toward information processing theories of cognition. |
| dqtest: Ideal and Real Atmospheric Boundary Layers Mathias W. Rotach, Albert A. M. Holtslag, 2025-01-20 Ideal and Real Atmospheric Boundary Layers is based on the notion that classical books of Boundary Layer Meteorology largely focus on ideal surface conditions, while the actual real circumstances often address situations that are more complex, like over heterogeneous land and in urban and mountain areas.Ideal and Real Atmospheric Boundary Layers starts by covering the basic physical principles used in atmospheric boundary layer meteorology, including atmospheric turbulence, observing and modeling atmospheric boundary layers, and neutral, convective, and stable boundary layers over different types of land surfaces. The second part of the book describes the applications and extension of these principles for real-world circumstances. The book will be of interest to researchers and students in atmospheric science, climate science, and meteorology. - Covers state of current research into ideal and real boundary layers - Includes methods and applications of the principles covered in the book - Features highly visual content, including infographics to further exemplify principles and applications covered in the text |
| dqtest: Handbook of Computational Finance Jin-Chuan Duan, Wolfgang Karl Härdle, James E. Gentle, 2011-10-25 Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools. |
| dqtest: Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures G. Gregoriou, R. Pascalau, 2010-12-13 This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure effects, as well as new financial risk measures using parametric and non-parametric techniques. In particular, it investigates the market microstructure of foreign exchange and futures markets. |
| dqtest: Generative AI with Kubernetes Jonathan Baier, 2025-02-28 DESCRIPTION Over the past few years, we have seen leaps and strides in ML and most recently generative AI. Companies and software teams are rushing to enhance, rebuild, and create new software offerings with this new intelligence. As they innovate and create delightful new experiences for their customers new challenges arise. Understanding how these applications work and how to use state-of-the-art infrastructure tools like Kubernetes will help organizations and professionals succeed with this new technology. The book covers essential technical implementations from ML fundamentals through advanced deployment strategies, focusing on practical patterns. Core topics include Kubernetes-native GPU scheduling and resource management, MLOps pipeline architectures using Kubeflow/MLflow, and advanced model serving patterns. It details data management architectures, vector databases, and RAG systems, alongside monitoring solutions with Prometheus/Grafana. Finally, we will look at some advanced concerns for production in the realm of security and data reliability. After reading this book, you will be equipped with a broad knowledge of the end-to-end generative AI pipeline and how Kubernetes can be leveraged to run your generative AI workloads at scale in the real-world. KEY FEATURES ● Learn how Kubernetes can help you run your generative AI workloads. ● Using hands-on examples, you will work with real-world foundational models and a variety of tools and capabilities in the K8s ecosystem. ● A broad survey of both generative AI and Kubernetes in one book. WHAT YOU WILL LEARN ● How to evaluate and compare models for new applications and use cases. ● How Kubernetes can add reliability and scale to your AI applications. ● What does an AI delivery pipeline contain and how to start one. ● How AI models encode words and work with natural language. ● How prompting and refinement techniques can improve results. ● How to use your own data to augment AI responses. WHO THIS BOOK IS FOR This book is for teams building new applications or new functionality with generative AI, but want to better understand the infrastructure needed to bring their AI applications to production. This book is also for shared services, infrastructure, or cybersecurity teams who provide platforms and infrastructure for application, or product development. TABLE OF CONTENTS 1. Introduction to Generative Artificial Intelligence 2. Kubernetes for Generative AI 3. Introduction to Foundational Models on Kubernetes 4. Working with Foundational Models 5. Process and Pipelines 6. Process and Pipelines on Kubernetes 7. Managing Data for Generative AI 8. Refining and Improving Results 9. Observability and Monitoring 10. Securing ML/GenAI Pipelines on K8s |
| dqtest: Microsoft Power BI Performance Best Practices Bhavik Merchant, 2022-04-22 Supercharge performance analytics and create repeatable patterns to ensure you get the best performance and scalability from your analytics solutions with Power BI Key Features Learn how to build performant data models and apply Row-Level Security Identify and fix performance issues in reports, DAX, and datasets using DAX Studio/VertiPaq Analyzer Use a formal process to manage performance, from setting targets to monitoring and remediating issues Book DescriptionThis book comprehensively covers every layer of Power BI, from the report canvas to data modeling, transformations, storage, and architecture. Developers and architects working with any area of Power BI will be able to put their knowledge to work with this practical guide to design and implement at every stage of the analytics solution development process. This book is not only a unique collection of best practices and tips, but also provides you with a hands-on approach to identifying and fixing common performance issues. Complete with explanations of essential concepts and practical examples, you’ll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You’ll grasp the general architectural issues and settings that broadly affect most solutions. As you progress, you’ll walk through each layer of a typical Power BI solution, learning how to ensure your designs can handle scale while not sacrificing usability. You’ll focus on the data layer and then work your way up to report design. We will also cover Power BI Premium and load testing. By the end of this Power BI book, you’ll be able to confidently maintain well-performing Power BI solutions with reduced effort and know how to use freely available tools and a systematic process to monitor and diagnose performance problems.What you will learn Understand how to set realistic performance targets and address performance proactively Understand how architectural options and configuration affect performance Build efficient Power BI reports and data transformations Explore best practices for data modeling, DAX, and large datasets Understand the inner workings of Power BI Premium Explore options for extreme scale with Azure services Understand how to use tools that help identify and fix performance issues Who this book is for Data analysts, BI developers, and data professionals who have learnt the basics of Power BI and now want to understand how to build advanced analytics solutions will find this business intelligence book useful. Familiarity with the major components of Power BI and a beginner-level understanding of their purpose and use cases are required. |
| dqtest: Children's Thinking David F. Bjorklund, Kayla B. Causey, 2017-01-04 The Sixth Edition of David F. Bjorklund and Kayla B. Causey’s topically organized Children’s Thinking presents a current, comprehensive, and dynamic examination of cognitive development. The book covers individual children and their developmental journeys while also following the general paths of overall cognitive development in children. This unique and effective approach gives readers a holistic view of children’s cognitive development, acknowledging that while no two children are exactly alike, they tend to follow similar developmental patterns. Supported by the latest research studies and data, the Sixth Edition provides valuable insights for readers to better understand and work with children. |
| dqtest: Minnesota Symposia on Child Psychology W. A. Collins, 2013-05-13 Published in 1978, Minnesota Symposia on Child Psychology is a valuable contribution to the field of Developmental Psychology. |
| dqtest: Time Series and Wavelet Analysis Chang Chiann, Aluisio de Souza Pinheiro, Clélia Maria Castro Toloi, 2024-12-19 Prof. Pedro A. Morettin is a Distinguished Professor of Statistics at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP), where he has built an academic career spanning almost six decades. His work has had a significant impact on Time Series Analysis and Wavelet Statistical Methods, as exemplified by the papers appearing in this Festschrift, which are authored by renowned researchers in both fields. Besides his long-term commitment to research, Prof. Morettin is very active in mentoring and serving the profession. Moreover, he has written several textbooks, which are still a leading source of knowledge and learning for undergraduate and graduate students, practitioners, and researchers. Divided into two parts, the Festschrift presents a collection of papers that illustrate Prof. Morettin’s broad contributions to Time Series and Econometrics, and to Wavelets. The reader will be able to learn state-of-the-art statistical methodologies, from periodic ARMA models, fractional Brownian motion, and generalized Ornstein-Uhlenbeck processes to spatial models, passing through complex structures designed for high-dimensional data analysis, such as graph and dynamic models. The topics and data features discussed here include high-frequency sampling, fNRIS, forecasting, portfolio apportionment, volatility assessment, dairy production, and inflation, which are relevant to econometrics, medicine, and the food industry. The volume ends with a discussion of several very powerful tools based on wavelets, spectral analysis, dimensionality reduction, self-similarity, scaling, copulas, and other notions. |
| dqtest: Dependable Computing - EDDC-3 Jan Hlavicka, Erik Maehle, Andras Pataricza, 2003-06-26 The idea of creating the European Dependable Computing Conference (EDCC) was born at the moment when the Iron Curtain fell. A group of enthusiasts, who were pre viously involved in research and teaching in the ?eld of fault tolerant computing in different European countries, agreed that there is no longer any point in keeping pre viously independent activities apart and created a steering committee which took the responsibility for preparing the EDCC calendar and appointing the chairs for the in dividual conferences. There is no single European or global professional organization that took over the responsibility for this conference, but there are three national in terest groups that sent delegates to the steering committee and support its activities, especially by promoting the conference materials. As can be seen from these materi als, they are the SEE Working Group “Dependable Computing” (which is a successor organizationof AFCET)in France,theGI/ITG/GMATechnicalCommitteeonDepend ability and Fault Tolerance in Germany, and the AICA Working Group “Dependability of Computer Systems” in Italy. In addition, committees of several global professional organizations, such as IEEE and IFIP, support this conference. Prague has been selected as a conference venue for several reasons. It is an easily accessible location that may attract many visitors by its beauty and that has a tradition in organizing international events of this kind (one of the last FTSD conferences took place here). |
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