J. S. Marron, Ian L. Dryden

Object Oriented Data Analysis (eBook, PDF)

• Format: PDF

Produktbeschreibung

Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of Complex Data. It is deliberately intended to be particularly useful in the analysis of data in complicated situations which are typically not easily represented as an unconstrained matrix of numbers.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 436
• Erscheinungstermin: 23. November 2021
• Englisch
• ISBN-13: 9781351189668
• Artikelnr.: 62751075

Autorenporträt

J. S. Marron is the Amos Hawley Distinguished Professor of Statistics, Professor of Biostatistics, Adjunct Professor of Computer Science, Faculty Member of the Bioinformatics and Computational Biology Curriculum and Research Member of the Lineberger Cancer Center and the Computational Medicine Program, at the University of North Carolina, Chapel Hill.

Ian L. Dryden is a Professor in the Department of Mathematics and Statistics at Florida International University in Miami, has served as Head of School of Mathematical Sciences at the University of Nottingham, and is joint author of the acclaimed book Statistical Shape Analysis.

Inhaltsangabe

1. What is OODA?
2. Breadth of OODA
3. Data Object Definition
4. Exploratory and Confirmatory Analyses
5. OODA P6
6. Data Visualization
7. Distance Based Methods
8. Manifold Data Analysis
9. FDA Curve Registration
10. Graph Structured Data Objects
11. Classification - Supervised Learning
12. Clustering - Unsupervised Learning
13. High Dimensional Inference
14. High Dimensional Asymptotics
15. Smoothing and SiZer
16. Robust Methods
17. PCA Details and Variants
18. OODA Context and Related Areas