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Analysis of Multivariate and High-Dimensional Data

Af: Inge Koch Engelsk Hardback

Analysis of Multivariate and High-Dimensional Data

Af: Inge Koch Engelsk Hardback
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''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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''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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Produktdetaljer
Sprog: Engelsk
Sider: 526
ISBN-13: 9780521887939
Indbinding: Hardback
Udgave:
ISBN-10: 0521887933
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 2 dec 2013
Længde: 29mm
Bredde: 180mm
Højde: 260mm
Forlag: Cambridge University Press
Oplagsdato: 2 dec 2013
Forfatter(e): Inge Koch
Forfatter(e) Inge Koch

Kategori Sandsynlighedsregning og statistik

ISBN-13 9780521887939

Sprog Engelsk

Indbinding Hardback

Sider 526

Udgave

Længde 29mm

Bredde 180mm

Højde 260mm

Udg. Dato 2 dec 2013

Oplagsdato 2 dec 2013

Forlag Cambridge University Press