E-Book, Englisch, 328 Seiten
ISBN: 978-1-80061-176-4
Verlag: World Scientific Publishing Company
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
In the modern world, data is a vital asset for any organization, regardless of industry or size. The world is built upon data. However, data without knowledge is useless. The aim of this book, briefly, is to introduce new approaches that can be used to shape and forecast the future by combining the two disciplines of Statistics and Economics.
Readers of Modeling and Advanced Techniques in Modern Economics can find valuable information from a diverse group of experts on topics such as finance, econometric models, stochastic financial models and machine learning, and application of models to financial and macroeconomic data.
Contents:
Smart Growth Developments of Europe Union Members by Europe 2020 Strategies (Sahika Gökmen and Johan Lyhagen)
Spatial Regression Model Specification and Measurement Errors (Anil Eralp and Rukiye Dagalp)
Determining Harmonic Fluctuations in Food Inflation (Yilmaz Akdi, Kamil Demirberk Ünlü, Cem Bas, and Yunus Emre Karamanoglu)
Nonlinear and Chaotic Time Series Analysis (Baki Ünal and Çagdas Hakan Aladag)
A Fiducial-based Test for the Equality of Location Parameters (Gamze Güven, Özge Gürer, Hatice Samkar, and Birdal Senoglu)
Understanding the Effects of Green Swan Events on Financial Stability: Annex II Countries and Turkey (Senay Açikgöz and Sahika Gökmen)
Forecasting the BIST 100 Index with Support Vector Machines (Kamil Demirberk Ünlü, Nihan Potas, and Mehmet Yilmaz)
Multiple Objective Optimization with Weighted Superposition Attraction–Repulsion Algorithm (moWSAR) Algorithm (Adil Baykasoglu)
Time Series Modeling with Deep Neural Networks (Çagatay Bal and Çagdas Hakan Aladag)
An Extension of the Inverse Gaussian Distribution (Talha Arslan)
Clustering Eurozone Countries According to Employee Contributions Before and After COVID-19 (Hüseyin Ünözkan, Nihan Potas, and Mehmet Yilmaz)
Criteria for Best Architecture Selection in Artificial Neural Networks (Çagatay Bal and Serdar Demir)
Readership: The book is primarily aimed at academics, researchers, and postgraduate students interested in new economic perspectives with modeling and advanced techniques. A secondary audience involves practitioners and policymakers from diverse related fields.
Key Features:
The book will be defined as a new economic perspective
Brought an interdisciplinary perspective to economic modeling
Opened new discussions regarding to real data modeling
Aladag / Potas
MODELING AND ADVANCED TECHNIQUES IN MODERN ECONOMICS jetzt bestellen!
Readers of Modeling and Advanced Techniques in Modern Economics can find valuable information from a diverse group of experts on topics such as finance, econometric models, stochastic financial models and machine learning, and application of models to financial and macroeconomic data.
Contents:
Smart Growth Developments of Europe Union Members by Europe 2020 Strategies (Sahika Gökmen and Johan Lyhagen)
Spatial Regression Model Specification and Measurement Errors (Anil Eralp and Rukiye Dagalp)
Determining Harmonic Fluctuations in Food Inflation (Yilmaz Akdi, Kamil Demirberk Ünlü, Cem Bas, and Yunus Emre Karamanoglu)
Nonlinear and Chaotic Time Series Analysis (Baki Ünal and Çagdas Hakan Aladag)
A Fiducial-based Test for the Equality of Location Parameters (Gamze Güven, Özge Gürer, Hatice Samkar, and Birdal Senoglu)
Understanding the Effects of Green Swan Events on Financial Stability: Annex II Countries and Turkey (Senay Açikgöz and Sahika Gökmen)
Forecasting the BIST 100 Index with Support Vector Machines (Kamil Demirberk Ünlü, Nihan Potas, and Mehmet Yilmaz)
Multiple Objective Optimization with Weighted Superposition Attraction–Repulsion Algorithm (moWSAR) Algorithm (Adil Baykasoglu)
Time Series Modeling with Deep Neural Networks (Çagatay Bal and Çagdas Hakan Aladag)
An Extension of the Inverse Gaussian Distribution (Talha Arslan)
Clustering Eurozone Countries According to Employee Contributions Before and After COVID-19 (Hüseyin Ünözkan, Nihan Potas, and Mehmet Yilmaz)
Criteria for Best Architecture Selection in Artificial Neural Networks (Çagatay Bal and Serdar Demir)
Readership: The book is primarily aimed at academics, researchers, and postgraduate students interested in new economic perspectives with modeling and advanced techniques. A secondary audience involves practitioners and policymakers from diverse related fields.
Key Features:
The book will be defined as a new economic perspective
Brought an interdisciplinary perspective to economic modeling
Opened new discussions regarding to real data modeling
Autoren/Hrsg.
Bitte ändern Sie das Passwort
