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Object oriented data analysis / J.S. Marron and Ian L. Dryden.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC Monographs on Statistics and Applied ProbabilityPublisher: [Boca Raton] : Taylor & Francis Group, LLC, [2021]Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781351189675
  • 1351189670
  • 9781351189651
  • 1351189654
  • 9781351189668
  • 1351189662
  • 9781351189644
  • 1351189646
Subject(s): DDC classification:
  • 005.1/17 23
LOC classification:
  • QA76.9.O35
Online resources:
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.
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"-- Provided by publisher.
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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"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.

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