Analysis of Multivariate and High-Dimensional Data
eBook - PDF

Analysis of Multivariate and High-Dimensional Data

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Analysis of Multivariate and High-Dimensional Data

About this book

'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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Yes, you can access Analysis of Multivariate and High-Dimensional Data by Inge Koch in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Analysis of Multivariate and High-Dimensional Data
  3. Series page
  4. Title page
  5. Copyright page
  6. Dedication
  7. Contents
  8. List of Algorithms
  9. Notation
  10. Preface
  11. Part I Classical Methods
  12. Part II Factors and Groupings
  13. Part III Non-Gaussian Analysis
  14. Bibliography
  15. Author Index
  16. Subject Index
  17. Data Index