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Object Oriented Data Analysis - J. S. Marron, Ian L. Dryden

Object Oriented Data Analysis

Buch | Hardcover
424 Seiten
2021
Crc Press Inc (Verlag)
978-0-8153-9282-8 (ISBN)
CHF 179,95 inkl. MwSt
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 is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices.

The main points are illustrated with many real data examples, based on the authors' personal experiences, which have motivated the invention of a wide array of analytic methods.

While the mathematics go far beyond the usual in statistics (including differential geometry and even topology), the book is aimed at accessibility by graduate students. There is deliberate focus on ideas over mathematical formulas.

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.

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

Erscheinungsdatum
Reihe/Serie Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Zusatzinfo 13 Tables, black and white; 196 Halftones, color; 196 Illustrations, color
Verlagsort Bosa Roca
Sprache englisch
Maße 156 x 234 mm
Gewicht 857 g
Themenwelt Informatik Software Entwicklung Objektorientierung
Mathematik / Informatik Mathematik
ISBN-10 0-8153-9282-6 / 0815392826
ISBN-13 978-0-8153-9282-8 / 9780815392828
Zustand Neuware
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