Robust estimation in beta regression via maximum Lq-likelihood
Robust estimation in beta regression via maximum Lq-likelihood
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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
Beta regression models are widely used for modeling continuous data limited to the unit interval, such as proportions, fractions, and rates. The inference for the parameters of beta regression models is commonly based on maximum likelihood estimation. However, it is known to be sensitive to discrepant observations. In some cases, one atypical data...
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Full title
Robust estimation in beta regression via maximum Lq-likelihood
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TN_cdi_proquest_journals_3126921593
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3126921593
Other Identifiers
ISSN
0932-5026
E-ISSN
1613-9798
DOI
10.1007/s00362-022-01320-0
