ENGLISH

Applied Modeling Techniques and Data Analysis 2: Financial, Demographic, Stochastic and Statistical Models and Methods

By Christos H. Skiadas , Alex Karagrigoriou , Yannis Dimotikalis , Christina Parpoula

Book information

Publisher
Wiley-ISTE
Year
2022
ISBN
2020951002, 9781786306746
Language
english
Format
PDF
Filesize
8 MB (8849780 bytes)
Series
Big Data, Artificial Intelligence and Data Analysis Set, 8
Pages
274\275
Topic
Computers Databases
Time added
2022-08-24 10:07:09

Description

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.

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