Shulph Ink
Advances in Econometrics, Operational Research, Data Science and Actuarial Studies: Techniques and Theories
Advances in Econometrics, Operational Research, Data Science and Actuarial Studies: Techniques and Theories
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Excellent- More about Advances in Econometrics, Operational Research, Data Science and Actuarial Studies: Techniques and Theories
This book uses techniques and theories from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. It proposes solutions to common problems using mathematical, statistical, and actuarial modeling and data science concepts and tools, and is a must-read for scholars, students, and practitioners interested in a better understanding of these fields.
Format: Paperback / softback
Length: 591 pages
Publication date: 19 January 2023
Publisher: Springer Nature Switzerland AG
This comprehensive volume offers a wealth of techniques and theories derived from mathematics, statistics, computer science, and information science to analyze complex problems in various business, economic, finance, insurance, and related fields. The authors present innovative solutions to common challenges faced by these industries, employing a diverse range of methodologies. By showcasing the application of mathematical, statistical, and actuarial modeling, as well as concepts from data science, the authors demonstrate how to construct and apply accurate models using real-life data. Furthermore, they explore the design and implementation of computer algorithms to evaluate decision-making processes, enhancing the efficiency and effectiveness of these fields.
What sets this book apart is its unique association of data science, encompassing data scientists from diverse backgrounds, with fundamental and advanced concepts and tools commonly used in econometrics, operational research, and actuarial sciences. As a result, it serves as a valuable resource for scholars, students, and practitioners seeking to deepen their understanding of these techniques and theories.
The book is organized into five chapters, each dedicated to a specific aspect of data science and its application in analyzing business problems. The first chapter provides an introduction to the field, highlighting its importance and potential applications. The subsequent chapters delve into specific topics, such as statistical modeling, actuarial science, machine learning, and big data analytics. Each chapter is accompanied by illustrative examples and case studies, demonstrating the practical relevance and effectiveness of the discussed techniques.
In conclusion, this volume offers a comprehensive and interdisciplinary approach to analyzing business problems, providing valuable insights and solutions for scholars, students, and practitioners in the fields of economics, finance, insurance, and related disciplines. Its innovative blend of data science, mathematics, statistics, and computer science makes it a must-read for anyone seeking to stay at the forefront of these rapidly evolving fields.
Weight: 949g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030852566
Edition number: 1st ed. 2022
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