Analysis of Multivariate and High-Dimensional Data 多变量与高维数据分析理论与实践剑桥统计与概率数学系列精装

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作者Inge Koch

出版社Cambridge University Press

ISBN9780521887939

出版时间2010-11

装帧精装

定价982元

货号YB-70156

上书时间2024-07-07

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商品描述: 商品简介
“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.

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Analysis of Multivariate and High-Dimensional Data 多变量与高维数据分析 理论与实践 剑桥统计与概率数学系列 精装