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Object Oriented Data Analysis
Buch von Ian L. Dryden (u. a.)
Sprache: Englisch

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Beschreibung

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.

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.

Über den Autor

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 Professor of Statistics in the School of Mathematical Sciences at the University of Nottingham, has served as Head of School, and is joint author of the acclaimed book Statistical Shape Analysis.

Inhaltsverzeichnis
    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
Details
Fachbereich: EDV
Thema: Lexika
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780815392828
ISBN-10: 0815392826
Sprache: Englisch
Einband: Gebunden
Autor: Dryden, Ian L.
Marron, J. S.
Hersteller: Taylor & Francis Inc
Maße: 242 x 167 x 30 mm
Von/Mit: Ian L. Dryden (u. a.)
Erscheinungsdatum: 24.11.2021
Gewicht: 0,801 kg
Artikel-ID: 121256980
Über den Autor

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 Professor of Statistics in the School of Mathematical Sciences at the University of Nottingham, has served as Head of School, and is joint author of the acclaimed book Statistical Shape Analysis.

Inhaltsverzeichnis
    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
Details
Fachbereich: EDV
Thema: Lexika
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780815392828
ISBN-10: 0815392826
Sprache: Englisch
Einband: Gebunden
Autor: Dryden, Ian L.
Marron, J. S.
Hersteller: Taylor & Francis Inc
Maße: 242 x 167 x 30 mm
Von/Mit: Ian L. Dryden (u. a.)
Erscheinungsdatum: 24.11.2021
Gewicht: 0,801 kg
Artikel-ID: 121256980
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