Modern International Developments in Data Analysis and Multivariate Statistical Analysis (Hardcover)

In recent years, data analysis and multivariate statistical analysis have globally evolved, driven by advances in computing power, the rise of big data, and the growing demand for data-informed decision-making across sectors. Modern developments now integrate machine learning, artificial intelligence (AI), and data techniques, enabling more sophisticated analysis of complex, multi-variable datasets. Globally, collaborations between academic institutions, governments, and businesses fuel innovation, standardization, and accessibility in statistical methodologies. These advancements enhance predictions and insights, while supporting applications in fields like healthcare, finance, environmental science, and policy. Modern International Developments in Data Analysis and Multivariate Statistical Analysis explores the development and dissemination of methods of data analysis and multivariate statistical analysis. It examines new fields that can be developed based on relevant international developments in statistical science. This book covers topics such as geopolitics, machine learning, and policymaking, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and data scientists.

Theodore Chadjipadelis is a Professor of Applied Statistics at the Department of Political Science in Aristotle University of Thessaloniki. He is the Head of Laboratory of Applied Political Research and also Director of the MSc programs Political Analysis and Governance-Regional Development. He is also the Head of the Research Centre “Observatory for Democracy in Balkans, Black Sea and Eastern Mediterranean”. He taught Statistics, Mathematics, Electoral Analysis, Governance, Local and Regional Government, Decision Theory in the Aristotle University as well as in the University of Thessaly and the Hellenic Open University. He has published more than 100 papers in scientific journals and conference proceedings in Greece and abroad relating to Electoral Analysis, Public Opinion analysis, laboratory planning, Applied Statistics, Civil and Regional Planning. He is the Head of the Committee for Control of Public Surveys (established following agreement of the Committee with the Ministry of Media). From April 2010 till 2012 he was Board Member of “Information Society SA” and since 2011 till 2015 he was President of the Managing Committee at the University of Western Macedonia. He was a member of the Special Scientific Committee of the Ministry of Interior Decentralization and E-government for the new architecture of Administration and Regional Administration as well as the Special Committee for the electoral law. He has been member of the National Committee for Administrative Reform of the Ministry of Interior, Public Administration and Decentralization (as a representative of Aristotle University). He has been also a member of the scientific Committee of the “Institute of Local Government” (Κ.Ε.Δ.Κ.Ε-Τ.Ε.Δ.Κ.Ν.Α.). He has also been representative of the Hellenic Ministry of Education in EUROSTAT and national representative at FP6 Initiative 7 (Citizens and Governance in Knowledge Society).

Nikolaos Koutsoupias is a Professor of Applied Informatics & Data Analysis in the Department of International & European Studies of the School of Social Sciences, Humanities & Arts, University of Macedonia. He graduated from the Department of Computer Science, North Carolina State University (NCSU), Raleigh NC, USA and a PhD holder from the Department of Applied Informatics of the University of Macedonia. He worked as a Computing Lab Assistant at the Department of Computer Science and the Faculty of Social Sciences & Humanities, as a Teaching Assistant at the School of Electrical & Computer Engineering (NCSU) and as a Database Programmer of an International Insurance Group (ERGO). He taught IT & Data Analysis courses at the School of NCO Administration of the Hellenic Air Force and at the Departments of General Studies & Marketing of TEI of Thessaloniki. As Lecturer/pd407, Assistant and Associate Professor taught at Aristotle University and later at the University of W. Macedonia.

Angelos Markos is a Professor of Data Analysis in the Social Sciences at the Democritus University of Thrace, School of Education (Greece), board member of the Greek Society of Data Analysis (GSDA) and additional member of the International Federation of Classification Societies (IFCS) Council. In 2017, he was Visiting Scholar at the Department of Statistics, Stanford University. He hold a PhD degree from the University of Macedonia, Greece (2007). His areas of interest include multivariate analysis (especially dimension reduction and clustering), psychological testing and measurement in the social sciences and statistics education. I am creator and maintainer of the R packages clustrd and idm.

George C. Menexes is a professor of ‘Biometry and Agricultural Experimentation’ at the School of Agriculture of the Aristotle University of Thessaloniki. His research interests focused on the scientific research methodology, the development and application of statistical methods for the analysis of data resulted from experiments in the field of biological sciences and the methods of multivariate analysis of quantitative and categorical data. He has more than 240 publications (full articles) in scientific journals and conference proceedings and he has participated in 40 research programs. He has announced and/or presented more than 260 papers at National and International Conferences.