Statistical Properties In Firms Large Scale Data

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Statistical Properties in Firms' Large-scale Data

Atushi Ishikawa
Statistical Properties in Firms Large scale Data Book PDF

Author : Atushi Ishikawa
Publisher : Unknown
Page : 0 pages
File Size : 46,7 Mb
Release : 2021
Category : Electronic
ISBN : 9811622981

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Statistical Properties in Firms' Large-scale Data by Atushi Ishikawa Pdf

This is the first book to provide a systematic description of statistical properties of large-scale financial data. Specifically, the power-law and log-normal distributions observed at a given time and their changes using time-reversal symmetry, quasi-time-reversal symmetry, Gibrat's law, and the non-Gibrat's property observed in a short-term period are derived here. The statistical properties observed over a long-term period, such as power-law and exponential growth, are also derived. These subjects have not been thoroughly discussed in the field of economics in the past, and this book is a compilation of the author's series of studies by reconstructing the data analyses published in 15 academic journals with new data. This book provides readers with a theoretical and empirical understanding of how the statistical properties observed in firms' large-scale data are related along the time axis. It is possible to expand this discussion to understand theoretically and empirically how the statistical properties observed among differing large-scale financial data are related. This possibility provides readers with an approach to microfoundations, an important issue that has been studied in economics for many years.

Statistical Properties in Firms’ Large-scale Data

Atushi Ishikawa
Statistical Properties in Firms Large scale Data Book PDF

Author : Atushi Ishikawa
Publisher : Springer Nature
Page : 146 pages
File Size : 46,7 Mb
Release : 2021-06-25
Category : Business & Economics
ISBN : 9789811622977

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Statistical Properties in Firms’ Large-scale Data by Atushi Ishikawa Pdf

This is the first book to provide a systematic description of statistical properties of large-scale financial data. Specifically, the power-law and log-normal distributions observed at a given time and their changes using time-reversal symmetry, quasi-time-reversal symmetry, Gibrat's law, and the non-Gibrat's property observed in a short-term period are derived here. The statistical properties observed over a long-term period, such as power-law and exponential growth, are also derived. These subjects have not been thoroughly discussed in the field of economics in the past, and this book is a compilation of the author's series of studies by reconstructing the data analyses published in 15 academic journals with new data. This book provides readers with a theoretical and empirical understanding of how the statistical properties observed in firms’ large-scale data are related along the time axis. It is possible to expand this discussion to understand theoretically and empirically how the statistical properties observed among differing large-scale financial data are related. This possibility provides readers with an approach to microfoundations, an important issue that has been studied in economics for many years.

Network Theory and Agent-Based Modeling in Economics and Finance

Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji
Network Theory and Agent Based Modeling in Economics and Finance Book PDF

Author : Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji
Publisher : Springer Nature
Page : 458 pages
File Size : 49,5 Mb
Release : 2019-10-23
Category : Business & Economics
ISBN : 9789811383199

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Network Theory and Agent-Based Modeling in Economics and Finance by Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji Pdf

This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Research Anthology on Big Data Analytics, Architectures, and Applications

Management Association, Information Resources
Research Anthology on Big Data Analytics Architectures and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1988 pages
File Size : 51,9 Mb
Release : 2021-09-24
Category : Computers
ISBN : 9781668436639

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Research Anthology on Big Data Analytics, Architectures, and Applications by Management Association, Information Resources Pdf

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Big Data Analytics in HIV/AIDS Research

Al Mazari, Ali
Big Data Analytics in HIV AIDS Research Book PDF

Author : Al Mazari, Ali
Publisher : IGI Global
Page : 294 pages
File Size : 43,9 Mb
Release : 2018-04-27
Category : Medical
ISBN : 9781522532040

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Big Data Analytics in HIV/AIDS Research by Al Mazari, Ali Pdf

With the advent of new technologies in big data science, the study of medical problems has made significant progress. Connecting medical studies and computational methods is crucial for the advancement of the medical industry. Big Data Analytics in HIV/AIDS Research provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making. This book is a vital resource for medical practitioners, nurses, scientists, researchers, and students seeking current research on the connections between data analytics in the field of medicine.

Internet Economics: Models, Mechanisms and Management

Hans W. Gottinger
Internet Economics Models Mechanisms and Management Book PDF

Author : Hans W. Gottinger
Publisher : Bentham Science Publishers
Page : 222 pages
File Size : 55,9 Mb
Release : 2017-08-28
Category : Business & Economics
ISBN : 9781681085463

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Internet Economics: Models, Mechanisms and Management by Hans W. Gottinger Pdf

The internet represents a rapidly evolving set of technologies which is central to the development of a modern economy. Internet Economics: Models, Mechanisms and Management integrates knowledge about internet service design with economic modelling principles (pricing, cost and service models). Chapters highlight specific applications of the internet such as service provisioning, cloud computing, commerce, business security, network externalities, social media and more recent developments such as the Internet of Things (IoT), the industrial internet, data analytics and the use of big data to bring value to commercial ventures. Therefore, readers will have a conceptual and practical framework for understanding the economics of internet infrastructure and service delivery.

The Federal Statistical System: Its Vulnerability Matters More Than You Think

Kenneth Prewitt
The Federal Statistical System Its Vulnerability Matters More Than You Think Book PDF

Author : Kenneth Prewitt
Publisher : SAGE
Page : 241 pages
File Size : 53,9 Mb
Release : 2010-09
Category : Political Science
ISBN : 9781412992589

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The Federal Statistical System: Its Vulnerability Matters More Than You Think by Kenneth Prewitt Pdf

How do federal statistics strengthen our nation's science as well as its policy? In this latest volume of The ANNALS, leading academics, along with key federal officials, including the president's science advisor, the chief statistician of the U.S., the director of the Office of Management and Budget (OMB), the presidents of the National Academies, and the director of the Census Bureau address the argument that the statistics that the federal statistical system produces should be understood as constituting a scientific infrastructure for the empirical social sciences. Further, they see the current federal statistical system as "the best hope for bringing strong science to bear on new data sources" and "the best place to navigate unforeseen challenges in preserving the independence of statistical information from political interference." If federal statistics are the knowledge base from which policy problems and solutions emerge, it is imperative that we pay attention to the lessons they offer. Never before has this topic received this level of attention from such an array of contributors. A must read for all social scientists and policy-makers.

Large Scale Structure and Dynamics of Complex Networks

Guido Caldarelli
Large Scale Structure and Dynamics of Complex Networks Book PDF

Author : Guido Caldarelli
Publisher : World Scientific
Page : 264 pages
File Size : 42,9 Mb
Release : 2007
Category : Computers
ISBN : 9789812771681

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Large Scale Structure and Dynamics of Complex Networks by Guido Caldarelli Pdf

This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.

Big Data of Complex Networks

Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl,Andreas Holzinger
Big Data of Complex Networks Book PDF

Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl,Andreas Holzinger
Publisher : CRC Press
Page : 290 pages
File Size : 44,8 Mb
Release : 2016-08-19
Category : Computers
ISBN : 9781315353593

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Big Data of Complex Networks by Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl,Andreas Holzinger Pdf

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT – The Health and Life Sciences University, Austria, and the Universität der Bundeswehr München. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory. Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine. Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universität München. His research interests are in operations research, systems biology, graph theory and discrete optimization. Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.

Practical Statistics for Data Scientists

Peter Bruce,Andrew Bruce
Practical Statistics for Data Scientists Book PDF

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 53,8 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Advanced Statistical Methods for the Analysis of Large Data-Sets

Agostino Di Ciaccio,Mauro Coli,Jose Miguel Angulo Ibanez
Advanced Statistical Methods for the Analysis of Large Data Sets Book PDF

Author : Agostino Di Ciaccio,Mauro Coli,Jose Miguel Angulo Ibanez
Publisher : Springer Science & Business Media
Page : 464 pages
File Size : 46,9 Mb
Release : 2012-03-05
Category : Mathematics
ISBN : 9783642210372

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Advanced Statistical Methods for the Analysis of Large Data-Sets by Agostino Di Ciaccio,Mauro Coli,Jose Miguel Angulo Ibanez Pdf

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.”

Big Data Science in Finance

Irene Aldridge,Marco Avellaneda
Big Data Science in Finance Book PDF

Author : Irene Aldridge,Marco Avellaneda
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 41,8 Mb
Release : 2021-01-27
Category : Computers
ISBN : 9781119602989

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Big Data Science in Finance by Irene Aldridge,Marco Avellaneda Pdf

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

Advanced Wireless Networks

Savo G. Glisic
Advanced Wireless Networks Book PDF

Author : Savo G. Glisic
Publisher : John Wiley & Sons
Page : 864 pages
File Size : 50,6 Mb
Release : 2016-07-22
Category : Technology & Engineering
ISBN : 9781119096870

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Advanced Wireless Networks by Savo G. Glisic Pdf

The third edition of this popular reference covers enabling technologies for building up 5G wireless networks. Due to extensive research and complexity of the incoming solutions for the next generation of wireless networks it is anticipated that the industry will select a subset of these results and leave some advanced technologies to be implemented later,. This new edition presents a carefully chosen combination of the candidate network architectures and the required tools for their analysis. Due to the complexity of the technology, the discussion on 5G will be extensive and it will be difficult to reach consensus on the new global standard. The discussion will have to include the vendors, operators, regulators as well as the research and academic community in the field. Having a comprehensive book will help many participants to join actively the discussion and make meaningful contribution to shaping the new standard.

GIS in Land and Property Management

Martin P. Ralphs,Peter Wyatt
GIS in Land and Property Management Book PDF

Author : Martin P. Ralphs,Peter Wyatt
Publisher : Taylor & Francis
Page : 417 pages
File Size : 54,8 Mb
Release : 2003-09-02
Category : Science
ISBN : 9781134550937

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GIS in Land and Property Management by Martin P. Ralphs,Peter Wyatt Pdf

Economists, geographers and surveyors are beginning to recognise the powerful tool which a Geographical Information System (GIS) offers in effective property management. It provides a means of managing land and property information digitally and in a geographical context, and allows for rapid access to information and a means of analyzing that information in a geographical context. GIS in Land and Property Management shows how to use GIS, both in principle and in practice. It introduces digital mapping and GIS, along with a brief history of the development of GIS and LIS, all with an emphasis on property. In presenting the spectrum of GIS applications in property management it gives a number of case studies from a variety of market sectors, and it analyzes the issues to provide guidance and a number of recommendations for the implementation of GIS. At the same time common themes and issues are drawn out to present a coherent message for students and practitioners. The book is useful for undergraduate and postgraduate students on land management, built environment, economics and geography courses, and for property professionals, in both public and private sectors, looking to GIS as a property management decision aid.

OECD Digital Economy Outlook 2024 (Volume 1) Embracing the Technology Frontier

OECD
OECD Digital Economy Outlook 2024 Volume 1 Embracing the Technology Frontier Book PDF

Author : OECD
Publisher : OECD Publishing
Page : 161 pages
File Size : 49,7 Mb
Release : 2024-05-14
Category : Electronic
ISBN : 9789264654266

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OECD Digital Economy Outlook 2024 (Volume 1) Embracing the Technology Frontier by OECD Pdf

The OECD Digital Economy Outlook 2024, Volume 1: Embracing the Technology Frontier provides new insights on key technologies that underpin the digital technology ecosystem and their impacts. Using big data and machine-learning techniques, Volume 1 provides new estimates of the growth rate of the ecosystem’s core – the information and communications technology (ICT) sector.