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Object Oriented Data Analysis

J. S. Marron | Ian L. yden
€132.99
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advanced data analysis for graduate students
Author_Ian L. yden
Author_J. S. Marron
Bottom Center Panel
Category=UMN
Column Object
Complex Data
Curve Registration
Data Objects
Data Representation
Data Set
Distance Weighted Discrimination
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functional data analysis
Generalized Procrustes Analysis
high dimensional statistics
Jitter Plots
KIRC
Left Panel
Lower Left Panel
manifold geometry
MDP
Panel Shows
PC Direction
PC Score
PC1 Score
PCA Score
Principal Component Analysis
Procrustes Analysis
Procrustes Distance
Projection Coefficients
Quotient Space
robust inference techniques
Scree Plot
statistical learning methods
TCGA
Top Left Panel
Toy Data Set
unsupervised clustering
Visualization

Product details

  • ISBN 9780815392828
  • Weight: 840g
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Nov 2021
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

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.
About Ian L. yden | J. S. Marron
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.

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