How collinearity affects mixture regression results
How collinearity affects mixture regression results
About this item
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Author / Creator
Publisher
New York: Springer Science + Business Media
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer Science + Business Media
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Scope and Contents
Contents
Mixture regression models are an important method for uncovering unobserved heterogeneity. A fundamental challenge in their application relates to the identification of the appropriate number of segments to retain from the data. Prior research has provided several simulation studies that compare the performance of different segment retention criter...
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Full title
How collinearity affects mixture regression results
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_1732033303
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1732033303
Other Identifiers
ISSN
0923-0645
E-ISSN
1573-059X
DOI
10.1007/s11002-014-9299-9
