Parametric modeling of quantile regression coefficient functions with count data
Parametric modeling of quantile regression coefficient functions with count data
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Berlin/Heidelberg: Springer Berlin Heidelberg
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English
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Berlin/Heidelberg: Springer Berlin Heidelberg
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Applying quantile regression to count data presents logical and practical complications which are usually solved by artificially smoothing the discrete response variable through jittering. In this paper, we present an alternative approach in which the quantile regression coefficients are modeled by means of (flexible) parametric functions. The prop...
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Parametric modeling of quantile regression coefficient functions with count data
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TN_cdi_proquest_journals_2581837929
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581837929
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ISSN
1618-2510
E-ISSN
1613-981X
DOI
10.1007/s10260-021-00557-7