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Advances in econometrics, operational research, data science and actuarial studiestechniques and theories /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in econometrics, operational research, data science and actuarial studiesedited by M. Kenan Terzioglu.
Reminder of title:	techniques and theories /
other author:	Terzioglu, M. Kenan.
Published:	Cham :Springer International Publishing :2022.
Description:	xxxiv, 591 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Econometrics.
Online resource:	https://doi.org/10.1007/978-3-030-85254-2
ISBN:	9783030852542$q(electronic bk.)

Advances in econometrics, operational research, data science and actuarial studiestechniques and theories /
Advances in econometrics, operational research, data science and actuarial studiestechniques and theories /[electronic resource] :edited by M. Kenan Terzioglu. - Cham :Springer International Publishing :2022. - xxxiv, 591 p. :ill. (chiefly col.), digital ;24 cm. - Contributions to economics,2197-7178. - Contributions to economics..

Chapter 1: The Cobb-Douglas production function for an exponential model -- Chapter 2: Threshold Unit Root Tests with Smooth Transitions -- Chapter 3: Jump connectedness in the European foreign exchange market -- Chapter 4:Modeling Currency Exchange Data with Asymmetric Copula Functions -- Chapter 5: The Joint Tests of the Parity Conditions: Evidence from a Small Open Economy -- Chapter 6: Stochastic volatility models with endogenous breaks in volatility forecasting -- Chapter 7: Effect in Quality Control Based of Hotelling T2 and CUSUM Control Chart Hakan EYGU -- Chapter 8: A Robust Regression Method Based on Pearson Type VI Distribution -- Chapter 9: Discrete Volatilities of Listed Real Estate Funds -- Chapter 10: Have Commodity Markets Political Nature? -- Chapter 11: A Nonlinear Panel ARDL Analysis of Pollution Haven/ Halo Hypothesis -- Chapter 12: An Investigation of Asymmetries in Exchange Rate Pass-through to Domestic Prices -- Chapter 13: Investigation of the Country-Specific Factors for URAP -- Chapter 14: The Impact of Outsourcing and Innovation on Industry 4.0 -- Chapter 15: Subjective Well-Being of Poor Households.

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.

ISBN: 9783030852542$q(electronic bk.)

Standard No.: 10.1007/978-3-030-85254-2doiSubjects--Topical Terms:

182271
Econometrics.

LC Class. No.: HB139 / .A38 2022

Dewey Class. No.: 330.015195

Advances in econometrics, operational research, data science and actuarial studiestechniques and theories /
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505 0 $a Chapter 1: The Cobb-Douglas production function for an exponential model -- Chapter 2: Threshold Unit Root Tests with Smooth Transitions -- Chapter 3: Jump connectedness in the European foreign exchange market -- Chapter 4:Modeling Currency Exchange Data with Asymmetric Copula Functions -- Chapter 5: The Joint Tests of the Parity Conditions: Evidence from a Small Open Economy -- Chapter 6: Stochastic volatility models with endogenous breaks in volatility forecasting -- Chapter 7: Effect in Quality Control Based of Hotelling T2 and CUSUM Control Chart Hakan EYGU -- Chapter 8: A Robust Regression Method Based on Pearson Type VI Distribution -- Chapter 9: Discrete Volatilities of Listed Real Estate Funds -- Chapter 10: Have Commodity Markets Political Nature? -- Chapter 11: A Nonlinear Panel ARDL Analysis of Pollution Haven/ Halo Hypothesis -- Chapter 12: An Investigation of Asymmetries in Exchange Rate Pass-through to Domestic Prices -- Chapter 13: Investigation of the Country-Specific Factors for URAP -- Chapter 14: The Impact of Outsourcing and Innovation on Industry 4.0 -- Chapter 15: Subjective Well-Being of Poor Households.
520 $a 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.
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