Logit tree models for discrete choice data with application to advice-seeking preferences among Chin...
Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians
About this item
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Logit models are popular tools for analyzing discrete choice and ranking data. The models assume that judges rate each item with a measurable utility, and the ordering of a judge’s utilities determines the outcome. Logit models have been proven to be powerful tools, but they become difficult to interpret if the models contain nonlinear and interact...
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Full title
Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians
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Record Identifier
TN_cdi_proquest_miscellaneous_1808091233
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1808091233
Other Identifiers
ISSN
0943-4062
E-ISSN
1613-9658
DOI
10.1007/s00180-015-0588-4
