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Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat
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Donald B. Percival 作者
Cambridge University Press
譯者
2000-07-24 出版日期
620 頁數
USD 90.00 價格
Hardcover
Cambridge Series in Statistical and Probabilistic Mathematics 叢書系列
9780521640688 圖書編碼

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 圖書標籤: wavelet  time  series   

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Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 用戶評價

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Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 著者簡介

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 著者簡介

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在線電子書 圖書描述

The analysis of time series data is essential to many areas of science, engineering, finance and economics. This introduction to wavelet analysis "from the ground level and up," and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises--with complete solutions provided in the Appendix--allow readers to use the book for self-guided study. Additional exercises can be used in a classroom setting. A Web site offers access to the time series and wavelets used in the book, as well as information on accessing software in S-Plus and other languages. Students and researchers wishing to use wavelet methods to analyze time series will find this book essential.

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