Wow! eBook
Analysis of Multivariate and High-Dimensional Data
Author(s): Inge Koch (Author)
- Publisher: Cambridge University Press
- Publication Date: 27 Feb. 2014
- Edition: 1st
- Language: English
- Print length: 400 pages
- ISBN-10: 0521887933
- ISBN-13: 9780521887939
Book Description
'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.
Editorial Reviews
Review
'... this book is suitable for readers with various backgrounds and interests and can be read at different levels. ... [It] will also be useful for working statisticians who are interested in analysis of multivariate or high-dimensional data.' Yasunori Fujikoshi, Mathematical Reviews
About the Author
Inge Koch is Associate Professor of Statistics at the University of Adelaide, Australia.
