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Titlebook: Essentials of Excel VBA, Python, and R; Volume I: Financial John Lee,Cheng-Few Lee Textbook 2022Latest edition The Editor(s) (if applicabl

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發(fā)表于 2025-3-21 16:17:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Essentials of Excel VBA, Python, and R
副標(biāo)題Volume I: Financial
編輯John Lee,Cheng-Few Lee
視頻videohttp://file.papertrans.cn/316/315635/315635.mp4
概述Utilizes sample data drawn from individual stocks, stock indices, options, and futures.Offers applications in Python, R, and Excel VBA.Provides pedagogy from a business perspective, connecting statist
圖書封面Titlebook: Essentials of Excel VBA, Python, and R; Volume I: Financial  John Lee,Cheng-Few Lee Textbook 2022Latest edition The Editor(s) (if applicabl
描述This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry..This first volume is designed for advanced courses in financial statistics, investment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning..
出版日期Textbook 2022Latest edition
關(guān)鍵詞Statistical Finance; Probability and Statistics in Computer Science; Quantitative Finance; Mathematical
版次2
doihttps://doi.org/10.1007/978-3-031-14236-9
isbn_softcover978-3-031-14238-3
isbn_ebook978-3-031-14236-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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e statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning..978-3-031-14238-3978-3-031-14236-9
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Textbook 2022Latest editionvestment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning..
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Metric Properties of Riemannian Manifolds,A person studies . to learn how to obtain information from a data set. Therefore, the discipline of statistics transforms data into information.
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Open Ample Relations in 1-Jet Spaces,Statistics is about getting information from a data set. What type of information should we get from a data set?
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