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Object oriented data analysis

By: Contributor(s): Material type: TextTextSeries: Monographs on statistics & applied probability 169Publication details: Routledge 2022 Boca RatonDescription: xi, 416p.:col.ill. Includes indexISBN:
  • 9780815392828
Subject(s): DDC classification:
  • 005.117 M2O2
Summary: 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 https://www.routledge.com/Object-Oriented-Data-Analysis/Marron-Dryden/p/book/9780815392828
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 3-A / Slot 66 (0 Floor, West Wing) Non-fiction General Stacks 005.117 M2O2 (Browse shelf(Opens below)) Available 204810

Table of contents
What is OODA?
Breadth of OODA
Data object definition
exploratory and confirmatory analyses
OODA P
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.

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

https://www.routledge.com/Object-Oriented-Data-Analysis/Marron-Dryden/p/book/9780815392828

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