Analysis of Multivariate and High-Dimensional Data pdf epub mobi txt 电子书 下载 2025
Inge Koch is Associate Professor of Statistics at the University of Adelaide, Australia.
- textbook統計
- @網
“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
具体描述
读后感
评分
评分
评分
评分
用户评价
兼顾极限性质&可视化：）
评分兼顾极限性质&可视化：）
评分兼顾极限性质&可视化：）
评分兼顾极限性质&可视化：）
评分兼顾极限性质&可视化：）
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有