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Measuring the data universe /, 


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Название:  Measuring the data universe /
ISBN: 9783319769882
Издательство: Springer
Классификация:


ISBN-10: 331976988X
Обложка/Формат: Hardcover
Страницы: 117
Вес: 0.36 кг.
Дата издания: 28.05.2018
Язык: English
Издание: 2018 ed.
Иллюстрации: Bibliography; 33 illustrations, color; 5 illustrations, black and white
Размер: 234 x 156 x 10
Читательская аудитория: General (us: trade)
Подзаголовок: Data integration using the statistical data and metadata exchange
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange). As such, it is a must for data experts as well those aspiring to become one.Today, exponentially growing data worlds are increasingly determining our professional and private lives. The rapid increase in the amount of globally available data, fueled by search engines and social networks but also by new technical possibilities such as Big Data, offers great opportunities. But whatever the undertaking – driving the block chain revolution or making smart phones even smarter – success will be determined by how well it is possible to integrate, i.e. to collect, link and evaluate, the required data. One crucial factor in this is the introduction of a cross-domain order system in combination with a standardization of the data structure. Using everyday examples, the authors show how the concepts of statistics provide the basis for the universal and standardized presentation of any kind of information. They also introduce the international statistics standard SDMX, describing the profound changes it has made possible and the related order system for the international statistics community.

Дополнительное описание: 0 About the Authors.- 0 About This Book.- Part 1: Creating Comprehensive Data Worlds using Standardisation.- 1 Where We Stand, Where We Want to Be, and How to Get There.- 2 What Does Reality Look Like?.- 3 What Can We Expect From Big Data?.- 4 Why is Data



Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide

Автор: Borman David
Название: Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide
ISBN: 1507208170 ISBN-13(EAN): 9781507208175
Издательство: Неизвестно
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Цена: 2344.00 р.
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Описание: This book provides a different lens through which students can view what happens in twenty-first-century schools while also considering the perspectives of multiple constituencies: parents, teachers, students and communities. Included is a wide range of scholarship in the foundations of education; essays range from the more traditional work of John Dewey to the controversial ideas of Henry Giroux.

Statistical Challenges in 21st Century Cosmology (IAU S306)

Автор: Heavens
Название: Statistical Challenges in 21st Century Cosmology (IAU S306)
ISBN: 1107078563 ISBN-13(EAN): 9781107078567
Издательство: Cambridge Academ
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Цена: 14573.00 р.
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Описание: Led by members of the IAU`s Working Group in Astrostatistics and Astroinformatics, this timely volume addresses the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. An essential text for both astronomers and statisticians, it provides a solid foundation to advance new research methods in cosmology.

Measuring Crime

Автор: Lohr
Название: Measuring Crime
ISBN: 1138489077 ISBN-13(EAN): 9781138489073
Издательство: Taylor&Francis
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Цена: 4133.00 р.
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Описание: This book looks at crime statistics from a statistical point of view, and evaluates the different sources of crime statistics with respect to completeness, e.g., missing data, measurement error, and sampling variability. The goal of the book is to promote statistical reasoning about statistics.

Measuring and Reasoning

Автор: Bookstein, Fred L.,
Название: Measuring and Reasoning
ISBN: 1107024153 ISBN-13(EAN): 9781107024151
Издательство: Cambridge Academ
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Цена: 7760.00 р.
Наличие на складе: Поставка под заказ.

Описание: This exploration of empirical inference in science ranges over topics as diverse as the mass extinction of the dinosaurs, Peirce`s concept of abduction, multiple regression, and the analysis of patterns in astrophysics. At its heart is a formal description of the process by which scientific measurements support convincing explanations of the world around us.

Measuring Entrepreneurship

Автор: Emilio Congregado
Название: Measuring Entrepreneurship
ISBN: 1441944303 ISBN-13(EAN): 9781441944306
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This volume provides a comprehensive review of the theoretical concepts and empirical models of entrepreneurship from a non-conventional perspective. It makes recent advances in the theory and application of the economics of entrepreneurship accessible to a wider audience, including policy makers.

Measuring Society_Nagaraja

Автор: Nagaraja
Название: Measuring Society_Nagaraja
ISBN: 113803598X ISBN-13(EAN): 9781138035980
Издательство: Taylor&Francis
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Цена: 4133.00 р.
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Описание: This book is a short, accessible guide to six topics: jobs, house prices, inequality, prices for goods and services, poverty, and deprivation. Each relates to concepts we use on a personal level to form an understanding of the society in which we live: We need a job, a place to live, and food to eat.

Statistical Tools for Measuring Agreement

Автор: Lawrence Lin; A. S. Hedayat; Wenting Wu
Название: Statistical Tools for Measuring Agreement
ISBN: 1489989641 ISBN-13(EAN): 9781489989642
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Agreement assessments are widely used today. Successful applications in these situations require an understanding of both the underlying theory and practical problems in real-life. This book blends theory and applications while presenting practical examples.

Measuring uncertainty within the theory of evidence

Автор: Salicone, Simona Prioli, Marco
Название: Measuring uncertainty within the theory of evidence
ISBN: 3319741373 ISBN-13(EAN): 9783319741376
Издательство: Springer
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Цена: 15372.00 р.
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Описание: 1. Introduction.- Part I: The background of the Measurement Uncertainty.- 2. Measurements.- 3. Mathematical Methods to handle Measurement Uncertainty.- 4. A first, preliminary example.- Part II: The mathematical Theory of the Evidence.- 5. Introduction: probability and belief functions.- 6. Basic definitions of the Theory of Evidence.- 7. Particular cases of the Theory of Evidence.- 8. Operators between possibility distributions.- 9. The joint possibility distributions.- 10. The combination of the possibility distributions.- 11. The comparison of the possibility distributions.- 12. The Probability-Possibility Transformations.- Part III: The Fuzzy Set Theory and the Theory of the Evidence.- 13. A short review of the Fuzzy Set Theory.- 14. The relationship between the Fuzzy Set Theory and the Theory of Evidence.- Part IV: Measurement Uncertainty within the mathematical framework of the Theory of the Evidence.- 15. Introduction: towards an alternative representation of the Measurement Results.- 16. Random-Fuzzy Variables and Measurement Results.- 17. The Joint Random-Fuzzy variables.- 18. The Combination of the Random-Fuzzy Variables.- 19. The Comparison of the Random-Fuzzy Variables.- 20. Measurement Uncertainty within Fuzzy Inference Systems.- Part V: Application examples.- 21. Phantom Power measurement.- 22. Characterization of a resistive voltage divider.- 23. Temperature measurement update.- 24. The Inverted Pendulum.- 25. Conclusion.- References.- Index.

Assessing and Measuring Statistics Cognition in Higher Education Online Environments: Emerging Research and Opportunities

Автор: Chase Justin P., Yan Zheng
Название: Assessing and Measuring Statistics Cognition in Higher Education Online Environments: Emerging Research and Opportunities
ISBN: 1522524207 ISBN-13(EAN): 9781522524205
Издательство: Mare Nostrum (Eurospan)
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Цена: 20374.00 р.
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Описание: The ability to effective learn, process, and retain new information is critical to the success of any student. Since mathematics are becoming increasingly more important in our educational systems, it is imperative that we devise an efficient system to measure these types of information recall. Assessing and Measuring Statistics Cognition in Higher Education Online Environments: Emerging Research and Opportunities is a critical reference source that overviews the current state of higher education learning assessment systems. Featuring extensive coverage on relevant topics such as statistical cognitions, online learning implications, cognitive development, and curricular mismatches, this publication is ideally designed for academics, students, educators, professionals, and researchers seeking innovative perspectives on current assessment and measurement systems within our educational facilities.

Observational Evidence for Black Holes in the Universe

Автор: Sandip K. Chakrabarti
Название: Observational Evidence for Black Holes in the Universe
ISBN: 9401059950 ISBN-13(EAN): 9789401059954
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Proceedings of a conference held in Calcutta, India, January 10-17, 1998

Bayesian Methods in Cosmology

Автор: Hobson
Название: Bayesian Methods in Cosmology
ISBN: 1107631750 ISBN-13(EAN): 9781107631755
Издательство: Cambridge Academ
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Цена: 6970.00 р.
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Описание: An essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics, this timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject.


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