Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

M. Kenan Terzio¿lu

ISBN 10: 3030852539 / ISBN 13: 9783030852535

Published by Springer, Springer International Publishing Jan 2022, 2022

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields.The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes.This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 628 pp. Englisch.

Seller Inventory # 9783030852535

Bibliographic Details

• Title: Advances in Econometrics, Operational Research, Data Science and Actuarial Studies
• Publisher: Springer, Springer International Publishing Jan 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 3030852539
• ISBN 13: 9783030852535
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 39D millimeters 241 millimeters width by 160 millimeters height by 39 millimeters depth
• Weight: 1098 grams

About this title

Synopsis

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. 

 

The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes.

 

This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

About the Author

M. Kenan Terzioğlu received his MSc. degree in Actuarial Sciences from Hacettepe University, Ankara (Turkey). He studied at Tilburg University (Netherlands) in the Department of Econometrics and Operations between 2008 and 2009 while working in the Department of Actuarial Sciences at Hacettepe University between 2006 and 2009 as a Research Assistant. He worked as a Risk Analyst Assistant (Assistant Specialist) in Ziraat Bank Risk Management Department and received his Ph.D. degree in Econometrics from the Department of Econometrics at Gazi University, Ankara (Turkey). Since 2018, he has been working as an Associate Professor in the Econometrics Department at Trakya University, Edirne (Turkey). He is part of the management team at the Risk Management and Corporate Sustainability Application and Research Center at Trakya University. His research focuses on linear/non-linear time series analysis, financial econometrics, risk management, valuation method, and data sciences.