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Koch, Inge 作者

Cambridge University Press

译者

2013-12 出版日期

526 页数

$94.99 价格

Hardcover

Cambridge Series in Statistical and Probabilistic Mathematics 丛书系列

9780521887939 图书编码

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Analysis of Multivariate and High-Dimensional Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Analysis of Multivariate and High-Dimensional Data 在线电子书著者简介

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

Analysis of Multivariate and High-Dimensional Data 在线电子书图书目录

Analysis of Multivariate and High-Dimensional Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Analysis of Multivariate and High-Dimensional Data 在线电子书图书描述

“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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