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Tree models of similarity and association

Author: James E Corter
Publisher: Thousand Oaks, Calif. : Sage Publications, ©1996.
Series: Quantitative applications in the social sciences, no. 07-112.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book describes how matrices of similarities or associations among entities can be modelled using trees in order to explain some of the issues that arise in performing similarity relations analyses and interpreting the results correctly.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Corter, James E.
Tree models of similarity and association.
Thousand Oaks, Calif. : Sage Publications, ©1996
(DLC) 95050165
(OCoLC)33818332
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: James E Corter
ISBN: 058521719X 9780585217192 9781412986380 1412986389 0803957076 9780803957077
OCLC Number: 44963016
Description: 1 online resource (vi, 65 pages) : illustrations.
Contents: IntroductionTwo Types of Tree ModelsAlgorithms for Fitting Trees to DataPractical Issues and ApplicationsSome Extensions of Tree ModelsDiscussions and ConclusionsAppendix A: Mathematical ProgrammingAppendix B: Availability of Software for Fitting TreesAppendix C: Estimating Fit of a Tree Using Multiple Regression
Series Title: Quantitative applications in the social sciences, no. 07-112.
Responsibility: James E. Corter.

Abstract:

This book describes how matrices of similarities or associations among entities can be modelled using trees in order to explain some of the issues that arise in performing similarity relations analyses and interpreting the results correctly.

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