Data analysis and related applications, 1: Computational, algorithmic and applied economic data analysis
The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, hig...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
London
ISTE Ltd
2022
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| Series: | Big data, artificial intelligence and data analysis set
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and 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 related applications |
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| Item Description: | 7.1. Introduction |
| Physical Description: | 478 pages |
| ISBN: | 139416551X 1394165498 9781394165513 9781394165490 |