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Modeling and advanced techniques in modern economics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling and advanced techniques in modern economics/ editors, Çağdaş Hakan Aladağ, Nihan Potas.
其他作者:	Potas, Nihan.
出版者:	London :World Scientific Publishing Europe, : 2022.,
面頁冊數:	1 online resource (328 p.)
標題:	Economics - Mathematical models. -
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/q0346#t=toc
ISBN:	9781800611757

Modeling and advanced techniques in modern economics
Modeling and advanced techniques in modern economics[electronic resource] /editors, Çağdaş Hakan Aladağ, Nihan Potas. - London :World Scientific Publishing Europe,2022. - 1 online resource (328 p.)

Includes bibliographical references and index.

Smart growth developments of Europe union members by Europe 2020 strategies -- Spatial regression model specification and measurement errors -- Determining harmonic fluctuations in food inflation -- Nonlinear and chaotic time series analysis -- A fiducial-based test for the equality of location parameters -- Understanding the effects of green swan events on financial stability: annex II countries and Turkey -- Forecasting the BIST 100 index with support vector machines -- Multiple objective optimization with weighted superposition attraction-repulsion algorithm -- Time series modeling with deep neural networks -- An extension of the inverse gaussian distribution -- Clustering eurozone countries according to employee contributions before and after COVID-19 -- Criteria for best architecture selection in artificial neural networks.

"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"--

Mode of access: World Wide Web.

ISBN: 9781800611757Subjects--Topical Terms:

560849
Economics
--Mathematical models.

LC Class. No.: HB141 / .M586 2002

Dewey Class. No.: 330.01/5195

Modeling and advanced techniques in modern economics
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245 0 0 $a Modeling and advanced techniques in modern economics $h [electronic resource] / $c editors, Çağdaş Hakan Aladağ, Nihan Potas.
260 $a London : $b World Scientific Publishing Europe, $c 2022.
300 $a 1 online resource (328 p.)
504 $a Includes bibliographical references and index.
505 0 $a Smart growth developments of Europe union members by Europe 2020 strategies -- Spatial regression model specification and measurement errors -- Determining harmonic fluctuations in food inflation -- Nonlinear and chaotic time series analysis -- A fiducial-based test for the equality of location parameters -- Understanding the effects of green swan events on financial stability: annex II countries and Turkey -- Forecasting the BIST 100 index with support vector machines -- Multiple objective optimization with weighted superposition attraction-repulsion algorithm -- Time series modeling with deep neural networks -- An extension of the inverse gaussian distribution -- Clustering eurozone countries according to employee contributions before and after COVID-19 -- Criteria for best architecture selection in artificial neural networks.
520 $a "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"-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat reader.
588 $a Description based on print version record.
650 0 $a Economics $x Mathematical models. $3 560849
650 0 $a Econometric models. $3 556561
700 1 $a Potas, Nihan. $e editor. $3 1301643
700 1 $a Aladag, Cagdas Hakan. $3 1421266
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/q0346#t=toc