Advances in Econometrics, Operational Research, Data Science and Actuarial Studies - Techniques and Theories (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Contributions to Economics
Release date:	2022
First published:	2022
Editors:	M. Kenan Terzioglu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	591
Edition:	1st ed. 2022
ISBN-13:	978-3-03-085253-5
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Macroeconomics > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-03-085253-9
Barcode:	9783030852535

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