An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


An Introduction to Wavelets and Other Filtering Methods in Finance and Economics

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Ramazan Gençay 作者
Academic Press
譯者
2001-09-26 出版日期
359 頁數
USD 119.00 價格
Hardcover
叢書系列
9780122796708 圖書編碼

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 圖書標籤: 金融  數學  統計  經濟學  數據分析   


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An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 用戶評價

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signal processing cope with the introduction to high frequency finance

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signal processing cope with the introduction to high frequency finance

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signal processing cope with the introduction to high frequency finance

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signal processing cope with the introduction to high frequency finance

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signal processing cope with the introduction to high frequency finance

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 著者簡介


An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 著者簡介


An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics 在線電子書 圖書描述

"An Introduction to Wavelets and Other Filtering Methods in Finance and Economics" presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. This is the first book to present a unified view of filtering techniques. It concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series. It provides easy access to a wide spectrum of parametric and non-parametric filtering methods.

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