Modeling and advanced techniques in modern economics[electronic resource]
- 其他作者: Aladag, Cagdas Hakan. , Potas, Nihan.
- 出版: London : World Scientific Publishing Europe 2022.
- 稽核項: 1 online resource (328 p.).
- 標題: Economics Mathematical models. , Economics , Mathematical models. , Econometric models.
- ISBN: 1800611765 , 9781800611764
- ISBN: 9781800611740 , 1800611749
- 試查全文@TNUA:
- 附註: 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.
- 摘要: "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"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.worldscientific.com/worldscibooks/10.1142/q0346#t=toc
- 系統號: 005332018
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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.
來源: Google Book
來源: Google Book
評分
