Analysis of Multivariate and High-Dimensional Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Analysis of Multivariate and High-Dimensional Data

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Koch, Inge 作者
Cambridge University Press
譯者
2013-12 出版日期
526 頁數
$94.99 價格
Hardcover
Cambridge Series in Statistical and Probabilistic Mathematics 叢書系列
9780521887939 圖書編碼

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Analysis of Multivariate and High-Dimensional Data 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Analysis of Multivariate and High-Dimensional Data 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Analysis of Multivariate and High-Dimensional Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Analysis of Multivariate and High-Dimensional Data 在線電子書 著者簡介

Inge Koch is Associate Professor of Statistics at the University of Adelaide, Australia.


Analysis of Multivariate and High-Dimensional Data 在線電子書 著者簡介


Analysis of Multivariate and High-Dimensional Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Analysis of Multivariate and High-Dimensional Data 在線電子書 圖書描述

“Big data” poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world – integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed “safe operating zone” for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/ graduate students in statistics and researchers in data-rich disciplines.

Provides a balanced presentation of formal theory and data analysis

Offers extended examples using contemporary data, including high dimensional functional data sets

Colour graphics throughout, with downloadable data sets and Matlab code

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