132,50 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
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.
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.
- What is OODA?
- Breadth of OODA
- Data Object Definition
- Exploratory and Confirmatory Analyses
- OODA P6
- Data Visualization
- Distance Based Methods
- Manifold Data Analysis
- FDA Curve Registration
- Graph Structured Data Objects
- Classification - Supervised Learning
- Clustering - Unsupervised Learning
- High Dimensional Inference
- High Dimensional Asymptotics
- Smoothing and SiZer
- Robust Methods
- PCA Details and Variants
- OODA Context and Related Areas
| Fachbereich: | EDV |
|---|---|
| Thema: | Lexika |
| Medium: | Buch |
| Seiten: | 424 |
| 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 |
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.
- What is OODA?
- Breadth of OODA
- Data Object Definition
- Exploratory and Confirmatory Analyses
- OODA P6
- Data Visualization
- Distance Based Methods
- Manifold Data Analysis
- FDA Curve Registration
- Graph Structured Data Objects
- Classification - Supervised Learning
- Clustering - Unsupervised Learning
- High Dimensional Inference
- High Dimensional Asymptotics
- Smoothing and SiZer
- Robust Methods
- PCA Details and Variants
- OODA Context and Related Areas
| Fachbereich: | EDV |
|---|---|
| Thema: | Lexika |
| Medium: | Buch |
| Seiten: | 424 |
| 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 |
Ähnliche Produkte
Lieferzeit 2-3 Wochen
Lieferzeit 1-2 Wochen
Lieferzeit 2-3 Wochen
Aktuell nicht verfügbar
Lieferzeit 2-3 Wochen
Lieferzeit 1-2 Wochen
Lieferzeit 1-2 Wochen
Lieferzeit 2-3 Wochen
Lieferzeit 2-3 Wochen
Lieferzeit 4-7 Werktage
Lieferzeit 1-2 Wochen