Applied Modeling Techniques and Data Analysis 2 (PDF)
Financial, Demographic, Stochastic and Statistical Models and Methods
(Sprache: Englisch)
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET
Coordinated by Jacques Janssen
Data analysis is a scientific field that continues to grow enormously, most
notably over the last few decades, following rapid growth within the tech
industry, as...
Coordinated by Jacques Janssen
Data analysis is a scientific field that continues to grow enormously, most
notably over the last few decades, following rapid growth within the tech
industry, as...
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BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET
Coordinated by Jacques Janssen
Data analysis is a scientific field that continues to grow enormously, most
notably over the last few decades, following rapid growth within the tech
industry, as well as the wide applicability of computational techniques
alongside new advances in analytic tools. Modeling enables data analysts
to identify relationships, make predictions, and to understand, interpret
and visualize the extracted information more strategically.
This book
includes the most recent advances on this topic, meeting increasing
demand from wide circles of the scientific community.
Applied Modeling Techniques and Data Analysis 2 is a collective work by
a number of leading scientists, analysts, engineers, mathematicians and
statisticians, working on the front end of data analysis and modeling
applications. The chapters cover a cross section of current concerns and
research interests in the above scientific areas. The collected material is
divided into appropriate sections to provide the reader with both
theoretical and applied information on data analysis methods, models
and techniques, along with appropriate applications.
Coordinated by Jacques Janssen
Data analysis is a scientific field that continues to grow enormously, most
notably over the last few decades, following rapid growth within the tech
industry, as well as the wide applicability of computational techniques
alongside new advances in analytic tools. Modeling enables data analysts
to identify relationships, make predictions, and to understand, interpret
and visualize the extracted information more strategically.
This book
includes the most recent advances on this topic, meeting increasing
demand from wide circles of the scientific community.
Applied Modeling Techniques and Data Analysis 2 is a collective work by
a number of leading scientists, analysts, engineers, mathematicians and
statisticians, working on the front end of data analysis and modeling
applications. The chapters cover a cross section of current concerns and
research interests in the above scientific areas. The collected material is
divided into appropriate sections to provide the reader with both
theoretical and applied information on data analysis methods, models
and techniques, along with appropriate applications.
Autoren-Porträt
Yannis Dimotikalis is Assistant Professor within the Department ofManagement Science and Technology at the Hellenic Mediterranean
University, Greece.
Alex Karagrigoriou is Professor of Probability and Statistics, Deputy
Director of Graduate Studies in Statistics and Actuarial-Financial
Mathematics, and Director of the Laboratory of Statistics and Data
Analysis within the Department of Statistics and Actuarial-Financial
Mathematics at the University of the Aegean, Greece.
Christina Parpoula is Assistant Professor of Applied Statistics and
Research Methodology within the Department of Psychology at the
Panteion University of Social and Political Sciences, Greece.
Christos H. Skiadas is Former Vice-Rector at the Technical University of
Crete, Greece, and founder of its Data Analysis and Forecasting
Laboratory. He continues his research in ManLab, within the faculty?s
Department of Production Engineering and Management.
Bibliographische Angaben
- 2021, 1. Auflage, 288 Seiten, Englisch
- Herausgegeben: Yiannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas
- Verlag: John Wiley & Sons
- ISBN-10: 1119821630
- ISBN-13: 9781119821632
- Erscheinungsdatum: 26.03.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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