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Data Science and Social Research II
  • Language: en
  • Pages: 391

Data Science and Social Research II

The peer-reviewed contributions gathered in this book address methods, software and applications of statistics and data science in the social sciences. The data revolution in social science research has not only produced new business models, but has also provided policymakers with better decision-making support tools. In this volume, statisticians, computer scientists and experts on social research discuss the opportunities and challenges of the social data revolution in order to pave the way for addressing new research problems. The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets. Moreover, they analyze integrated systems designed to take advantage of new social data sources, and discuss quality-related issues. The papers were originally presented at the 2nd International Conference on Data Science and Social Research, held in Milan, Italy, on February 4-5, 2019.

Data Analysis and Applications 1
  • Language: en
  • Pages: 286

Data Analysis and Applications 1

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Econometrics and Income Inequality
  • Language: en
  • Pages: 323

Econometrics and Income Inequality

  • Type: Book
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  • Published: 2018-11-26
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  • Publisher: MDPI

This book is a printed edition of the Special Issue "Econometrics and Income Inequality" that was published in Econometrics

Data Analysis and Applications 2
  • Language: en
  • Pages: 252

Data Analysis and Applications 2

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. Volume 2 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into four parts: Part 1 examines (in)dependence relationships, innovation in the Nordic countries, dentistry journals, dependence among growth rates of GDP of V4 countries, emissions mitigation, and five-star ratings; Part 2 investigates access to credit for SMEs, gender-based impacts given Southern Europe’s economic crisis, and labor market transition probabilities; Part 3 looks at recruitment at university job-placement offices and the Program for International Student Assessment; and Part 4 examines discriminants, PageRank, and the political spectrum of Germany.

Book of Abstract. Italian Conference on Survey Methodology
  • Language: en
  • Pages: 154
Creating Value and Improving Financial Performance
  • Language: en
  • Pages: 293

Creating Value and Improving Financial Performance

This book discusses the transformation of the banking industry, particularly after a number of recent shocks: 2008 financial crisis, 2012 Euro-sovereign crisis, the pandemic COVID-19 crisis, the technological revolution, and reputational problems in banking due to climate risk and ESG (Environmental, Social and Governance) metrics. The book emphasizes two post-pandemic issues: the role of financial education and inclusive finance, and responsible banking and ESG priorities. Individual chapters analyse how the pandemic shed new light on social and governance responsibilities: Major issues include the importance and efficiency of financial education, and the impact of ESG programs on firms’ ...

Methodological and Applied Statistics and Demography II
  • Language: en
  • Pages: 716

Methodological and Applied Statistics and Demography II

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Statistical Learning of Complex Data
  • Language: en
  • Pages: 200

Statistical Learning of Complex Data

This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13–15, 2017.

ASA 2021 Statistics and Information Systems for Policy Evaluation
  • Language: en
  • Pages: 252

ASA 2021 Statistics and Information Systems for Policy Evaluation

This book includes 40 peer-reviewed short papers submitted to the Scientific Conference titled Statistics and Information Systems for Policy Evaluation, aimed at promoting new statistical methods and applications for the evaluation of policies and organized by the Association for Applied Statistics (ASA) and the Dept. of Statistics, Computer Science, Applications DiSIA “G. Parenti” of the University of Florence, jointly with the partners AICQ (Italian Association for Quality Culture), AICQ-CN (Italian Association for Quality Culture North and Centre of Italy), AISS (Italian Academy for Six Sigma), ASSIRM (Italian Association for Marketing, Social and Opinion Research), Comune di Firenze, the SIS – Italian Statistical Society, Regione Toscana and Valmon – Evaluation & Monitoring.

Cladag 2017 Book of Short Papers
  • Language: en
  • Pages: 698

Cladag 2017 Book of Short Papers

This book is the collection of the Abstract / Short Papers submitted by the authors of the International Conference of The CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), held in Milan (Italy) on September 13-15, 2017.