Advanced Statistical Methods for the Analysis of Large Data-Sets

Advanced Statistical Methods for the Analysis of Large Data-Sets
A Book

by Agostino Di Ciaccio,Mauro Coli,Jose Miguel Angulo Ibanez

  • Publisher : Springer Science & Business Media
  • Release : 2012-03-05
  • Pages : 486
  • ISBN : 3642210376
  • Language : En, Es, Fr & De
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The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”

Advanced Statistical Methods for the Analysis of Large Data-Sets

Advanced Statistical Methods for the Analysis of Large Data-Sets
A Book

by Agostino Di Ciaccio,Mauro Coli,Jose Miguel Angulo Ibanez

  • Publisher : Springer Science & Business Media
  • Release : 2012-03-14
  • Pages : 486
  • ISBN : 3642210368
  • Language : En, Es, Fr & De
GET BOOK

The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”

Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015)

Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015)
Bridging Research Endeavors

by Abd-Razak Ahmad,Liew Kee Kor,Illiasaak Ahmad,Zanariah Idrus

  • Publisher : Springer
  • Release : 2016-11-24
  • Pages : 323
  • ISBN : 9811027722
  • Language : En, Es, Fr & De
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This proceedings volume consists of refereed papers presented at the Second International Conference on Computing, Mathematics and Statistics (iCMS 2015) held in Langkawi, Malaysia in November 2015. Divided into three sections - Computer Science, Mathematics and Statistics - the book includes both quantitative and qualitative research that confronts current societal issues. Within the main sections, the book also covers education based research works and the applications of computer and mathematical sciences in social science, business, industries and the life and hard sciences. Drawing on the theme Bridging Research Endeavor on Computing, Mathematics and Statistics, each of the conference papers are carefully selected and edited to cater to readers from diverse applied and social sciences backgrounds. The book allows for the contemplation and reflection on the possibility of the knowledge growth and knowledge sharing in building a better world for future generations.

Big Data

Big Data
A Primer

by Hrushikesha Mohanty,Prachet Bhuyan,Deepak Chenthati

  • Publisher : Springer
  • Release : 2015-06-29
  • Pages : 184
  • ISBN : 8132224949
  • Language : En, Es, Fr & De
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This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

Exploring Service Science

Exploring Service Science
10th International Conference, IESS 2020, Porto, Portugal, February 5–7, 2020, Proceedings

by Henriqueta Nóvoa,Monica Drăgoicea,Niklas Kühl

  • Publisher : Springer Nature
  • Release : 2020-01-27
  • Pages : 400
  • ISBN : 3030387240
  • Language : En, Es, Fr & De
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This book constitutes the proceedings of the 10th International Conference on Exploring Service Science, IESS 2020, held in Porto, Portugal, in February 2020. The 28 papers presented in this volume were carefully reviewed and selected from 42 submissions. The book includes papers that extend the view on different concepts related to the development of the Service Science domain of study, applying them to frameworks, advanced technologies, and tools for the design of new, digitally-enabled service systems. This book is structured in six parts, based on the six main conference themes, as follows: Customer Experience, Data Analytics in Service, Emerging Service Technologies, Service Design and Innovation, Service Ecosystems, and Service Management.

Handbook of Web Surveys

Handbook of Web Surveys
A Book

by Silvia Biffignandi,Jelke Bethlehem

  • Publisher : John Wiley & Sons
  • Release : 2021-04-06
  • Pages : 624
  • ISBN : 1119371694
  • Language : En, Es, Fr & De
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HANDBOOK OF WEB SURVEYS The updated, must-have guide for creating and implementing web surveys Revised and thoroughly updated, the second edition of Handbook of Web Surveys offers a practical and comprehensive guide for creating and conducting effective web surveys. The authors noted experts on the topic, include a review the Blaise system (which has been around for 30 years) and provide information on the most recent developments and techniques in the field. The book illustrates the steps needed to develop effective web surveys and explains how the survey process should be carried out. It also examines the aspects of sampling and presents a number of sampling designs. The book includes ideas for overcoming possible errors in measurement and nonresponse. The authors also compare the various methods of data collection (face-to-face, telephone, mail, and mobile surveys) and discuss their advantages and disadvantages. Critical information for designing questionnaires for mobile devices is also provided. Filled with real-world examples, Handbook of Web Surveys discuss the key concepts, methods, and techniques of effective web surveys. This important book: Contains the most recent sampling designs and estimation procedures Offers ideas for overcoming errors in web surveys Includes information on mixed mode surveys Explores the concept of response probabilities Reviews all aspects of web panels Written for researchers in government, business, economics, and social scientists, the second edition of Handbook of Web Surveys provides an introduction to web surveys and the various methods and techniques.

Data Analytics

Data Analytics
Concepts, Techniques, and Applications

by Mohiuddin Ahmed,Al-Sakib Khan Pathan

  • Publisher : CRC Press
  • Release : 2018-09-21
  • Pages : 426
  • ISBN : 0429820917
  • Language : En, Es, Fr & De
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Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Climate Change Impacts and Adaptation Strategies for Coastal Communities

Climate Change Impacts and Adaptation Strategies for Coastal Communities
A Book

by Walter Leal Filho

  • Publisher : Springer
  • Release : 2017-11-23
  • Pages : 478
  • ISBN : 3319707035
  • Language : En, Es, Fr & De
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This book presents a comprehensive overview of research and projects regarding climate change adaptation in coastal areas, providing government and nongovernment bodies with a sound basis to promote climate change adaptation efforts.According to the 5th Assessment Report by the Intergovernmental Panel on Climate Change (IPCC), coastal zones are highly vulnerable to climate change, and climate-driven impacts may be further exacerbated by other human-induced pressures. Apart from sea-level rise, which poses a threat to both human well-being and property, extreme events such as cyclones and storm surges lead not only to significant damage to property and infrastructure, but also to salt water intrusion, groundwater salinisation, and intensified soil erosion, among many other problems. There are also numerous negative impacts on the natural environment and biodiversity, including damage to important wetlands and habitats that safeguard the overall ecological balance, and consequently the provision of ecosystem services and goods on which the livelihoods of millions of people depend. As such, there is a need for a better understanding of how climate change affects coastal areas and communities, and for the identification of processes, methods and tools that can help the countries and communities in coastal areas to adapt and become more resilient. It is against this background that this book has been produced. It includes papers written by scholars, social movements, practitioners and members of governmental agencies, pursuing research and/or executing climate change projects in coastal areas and working with coastal communities. Focusing on “managing climate change in coastal regions”, it showcases valuable lessons learned from research and field projects and presents best practices to foster climate change adaptation in coastal areas and communities, which can be implemented elsewhere.

Advances in Heavy Tailed Risk Modeling

Advances in Heavy Tailed Risk Modeling
A Handbook of Operational Risk

by Gareth W. Peters,Pavel V. Shevchenko

  • Publisher : John Wiley & Sons
  • Release : 2015-05-05
  • Pages : 656
  • ISBN : 1118909550
  • Language : En, Es, Fr & De
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A cutting-edge guide for the theories, applications, and statistical methodologies essential to heavy tailed risk modeling Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of mathematical and statistical perspectives, the handbook begins by introducing the motivation for heavy tailed risk processes in high consequence low frequency loss modeling. With a companion, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, the book provides a complete framework for all aspects of operational risk management and includes: Clear coverage on advanced topics such as splice loss models, extreme value theory, heavy tailed closed form loss distributional approach models, flexible heavy tailed risk models, risk measures, and higher order asymptotic approximations of risk measures for capital estimation An exploration of the characterization and estimation of risk and insurance modelling, which includes sub-exponential models, alpha-stable models, and tempered alpha stable models An extended discussion of the core concepts of risk measurement and capital estimation as well as the details on numerical approaches to evaluation of heavy tailed loss process model capital estimates Numerous detailed examples of real-world methods and practices of operational risk modeling used by both financial and non-financial institutions Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk is an excellent reference for risk management practitioners, quantitative analysts, financial engineers, and risk managers. The book is also a useful handbook for graduate-level courses on heavy tailed processes, advanced risk management, and actuarial science.

Fundamental Aspects of Operational Risk and Insurance Analytics

Fundamental Aspects of Operational Risk and Insurance Analytics
A Handbook of Operational Risk

by Marcelo G. Cruz,Gareth W. Peters,Pavel V. Shevchenko

  • Publisher : John Wiley & Sons
  • Release : 2015-01-20
  • Pages : 928
  • ISBN : 1118573021
  • Language : En, Es, Fr & De
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A one-stop guide for the theories, applications, and statistical methodologies essential to operational risk Providing a complete overview of operational risk modeling and relevant insurance analytics, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk offers a systematic approach that covers the wide range of topics in this area. Written by a team of leading experts in the field, the handbook presents detailed coverage of the theories, applications, and models inherent in any discussion of the fundamentals of operational risk, with a primary focus on Basel II/III regulation, modeling dependence, estimation of risk models, and modeling the data elements. Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk begins with coverage on the four data elements used in operational risk framework as well as processing risk taxonomy. The book then goes further in-depth into the key topics in operational risk measurement and insurance, for example diverse methods to estimate frequency and severity models. Finally, the book ends with sections on specific topics, such as scenario analysis; multifactor modeling; and dependence modeling. A unique companion with Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk, the handbook also features: Discussions on internal loss data and key risk indicators, which are both fundamental for developing a risk-sensitive framework Guidelines for how operational risk can be inserted into a firm’s strategic decisions A model for stress tests of operational risk under the United States Comprehensive Capital Analysis and Review (CCAR) program A valuable reference for financial engineers, quantitative analysts, risk managers, and large-scale consultancy groups advising banks on their internal systems, the handbook is also useful for academics teaching postgraduate courses on the methodology of operational risk.

Monitoring Student Achievement in the 21st Century

Monitoring Student Achievement in the 21st Century
European Policy Perspectives and Assessment Strategies

by Heidi Harju-Luukkainen,Nele McElvany,Justine Stang

  • Publisher : Springer Nature
  • Release : 2020-04-01
  • Pages : 279
  • ISBN : 3030389693
  • Language : En, Es, Fr & De
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This book draws together leading student assessment academics from across Europe exploring student monitoring policies and practices in a range of countries across 22 chapters. The chapters in the first part offer a broad overview on student assessment covering history and current status, aims and approaches as well as methodological challenges of international student assessment. The second part presents country specific chapters provide an in depth look examining country specific policy and practices and findings of national and/or international assessments. Findings are critically discussed and recommendations are made for further development of each country's assessment context. The book shows similarities and differences within the educational assessment landscape as well as complexity and similarities in assessment policy documents and strategies, Given the globalized world we live in today, this book fills a need in the higher educational context and is intended for for policy makers in different countries as well.

Innovations in Quantitative Risk Management

Innovations in Quantitative Risk Management
TU München, September 2013

by Kathrin Glau,Matthias Scherer,Rudi Zagst

  • Publisher : Springer
  • Release : 2015-01-09
  • Pages : 438
  • ISBN : 331909114X
  • Language : En, Es, Fr & De
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Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.

Understanding Advanced Statistical Methods

Understanding Advanced Statistical Methods
A Book

by Peter Westfall,Kevin S. S. Henning

  • Publisher : CRC Press
  • Release : 2013-04-09
  • Pages : 569
  • ISBN : 1466512105
  • Language : En, Es, Fr & De
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Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book’s website.

Communication and Information Technologies Annual

Communication and Information Technologies Annual
[New] Media Cultures

by Laura Robinson,Jeremy Schulz,Shelia R. Cotten,Timothy Hale,Apryl A. Williams,Joy L. Hightower

  • Publisher : Emerald Group Publishing
  • Release : 2016-03-09
  • Pages : 312
  • ISBN : 1785607847
  • Language : En, Es, Fr & De
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This volume examines wide-ranging aspects of culture, communication, and [new] media broadly defined. Themes include the interplay between [new] media and any of the following: culture, communication, technology, convergence, the arts, cultural production, and cultural change in the digital age.

Microarray Bioinformatics

Microarray Bioinformatics
A Book

by Dov Stekel

  • Publisher : Cambridge University Press
  • Release : 2003-09-08
  • Pages : 263
  • ISBN : 9780521525879
  • Language : En, Es, Fr & De
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Table of contents

Data Analysis

Data Analysis
What Can Be Learned From the Past 50 Years

by Peter J. Huber

  • Publisher : John Wiley & Sons
  • Release : 2012-01-09
  • Pages : 234
  • ISBN : 1118018265
  • Language : En, Es, Fr & De
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This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy – when to use which technique – are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics.

Social Research Methods

Social Research Methods
Qualitative, Quantitative and Mixed Methods Approaches

by Sigmund Grønmo

  • Publisher : SAGE
  • Release : 2019-10-14
  • Pages : 592
  • ISBN : 1526485540
  • Language : En, Es, Fr & De
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Structured around one of the concepts students struggle with the most—the research question—this book begins with how to understand the role of good questions before demonstrating how questions underpin good research designs and how social research can be framed as asking and answering questions. Perfect for undergraduate students new to methods, it teaches students how qualitative, quantitative, and mixed methods research can be used to answer these questions. "An incredibly resourceful book that contains a forensic insight into social research methods, offering the full range of contemporary approaches. Students will find particular value in the accessibility and detail of the text. Each chapter provides a set of learning outcomes, study questions and further reading." - Dr Ruth McAreavey, Newcastle University Supported by a website that maps online resources to key stages of the learning process, it helps students: - Understand the scientific method - Learn the vocabulary of social science research - Plan and design research - Practice with and interpret data - Explore social science literature and improve assignments with good citations - Improve critical thinking. - Extensive visualizations, overviews, examples, exercises, and other learning features, make this the perfect introductory text to build confidence and best practice around research methods.

Public Program Evaluation

Public Program Evaluation
A Statistical Guide

by Laura Langbein

  • Publisher : Routledge
  • Release : 2014-12-18
  • Pages : 264
  • ISBN : 1317461622
  • Language : En, Es, Fr & De
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This readable and comprehensive text is designed to equip students and practitioners with the statistical skills needed to meet government standards regarding public program evaluation. Even those with little statistical training will find the explanations clear, with many illustrative examples, case studies, and applications. Far more than a cookbook of statistical techniques, the book begins with chapters on the overall context for successful program evaluations, and carefully explains statistical methods--and threats to internal and statistical validity--that correspond to each evaluation design. Laura Langbein then presents a variety of methods for program analysis, and advise readers on how to select the mix of methods most appropriate for the issues they deal with-- always balancing methodology with the need for generality, the size of the evaluator's budget, the availability of data, and the need for quick results.

Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems

Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems
A Book

by Graeme L. Hammer,Neville Nicholls,Christopher Mitchell

  • Publisher : Springer Science & Business Media
  • Release : 2000-09-30
  • Pages : 472
  • ISBN : 9780792362708
  • Language : En, Es, Fr & De
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Climate variability has major impacts in many parts of the world, including Australia. Developments in understanding of the El Niño - Southern Oscillation Phenomenon have introduced some skill in seasonal to inter-annual climate forecasting. Can this skill be harnessed to advantage? Or do we just continue to observe these impacts? How does a decision-maker managing an agricultural or natural ecosystem modify decisions in response to a skillful, but imprecise, seasonal climate forecast? Using Australian experience as a basis, this book focuses on these questions in pursuing means to better manage climate risks. The state of the science in climate forecasting is reviewed before considering detailed examples of applications to: farm scale agricultural decisions (such as management of cropping and grazing systems); regional and national scale agricultural decisions (such as commodity trading and government policy); and natural systems (such as water resources, pests and diseases, and natural fauna). Many of the examples highlight the participatory and inter-disciplinary approach required among decision-makers, resource systems scientists/analysts, and climate scientists to bring about the effective applications. The experiences discussed provide valuable insights beyond the geographical and disciplinary focus of this book. The book is ideally suited to professionals and postgraduate students in ecology, agricultural climatology, environmental planning, and climate science.

Data Science for Business and Decision Making

Data Science for Business and Decision Making
A Book

by Luiz Paulo Fávero,Patrícia Belfiore

  • Publisher : Academic Press
  • Release : 2019-04-11
  • Pages : 1240
  • ISBN : 0128112174
  • Language : En, Es, Fr & De
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Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs