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Data Analysis and Related Applications 4 (eBook)

New Approaches
Artikelnummer: 978-1-394-31692-2
Einband: Adobe Digital Editions
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This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been 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.

Data Analysis and Related Applications 4 investigates a number of different topics in the areas mentioned above, touching on statistical analysis, stochastic processes, estimation methods, algorithms, distributions and networks, among others.

This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been 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.

Data Analysis and Related Applications 4 investigates a number of different topics in the areas mentioned above, touching on statistical analysis, stochastic processes, estimation methods, algorithms, distributions and networks, among others.

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VerlagWiley
EinbandAdobe Digital Editions
Erscheinungsjahr2024
Seitenangabe416 S.
AusgabekennzeichenEnglisch
Masse20'846 KB
Auflage1. Aufl.
PlattformEPUB
ReiheISTE Invoiced
AutorDimotikalis, Yiannis (Hrsg.) / Skiadas, Christos H. (Hrsg.)

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Über den Autor Yiannis (Hrsg.) Dimotikalis

Christos H. Skiadas, Ph.D., was the founder and director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete, Greece, and former vice-rector of the University. He is a chair of the Demographics Workshop series, the Applied Stochastic Models and Data Analysis Conference series, and the Chaotic Modeling and Simulation Conference series. He has published more than 80 papers, three monographs, and 24 books, including probability, statistics, data analysis, and forecasting. His research interests include innovation diffusion modeling and forecasting, life table data modeling, healthy life expectancy estimates, and deterministic, stochastic, and chaotic modeling. Charilaos Skiadas, Ph.D., is an associate professor in mathematics and computer science at Hanover College, Indiana, USA. His research interests encompass a wide array of mathematical and computing topics, ranging from algebraic geometry to statistics and programming languages to data science and health state modeling.

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