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Parametric modeling of quantile regression coefficient functions with count data

Parametric modeling of quantile regression coefficient functions with count data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581837929

Parametric modeling of quantile regression coefficient functions with count data

About this item

Full title

Parametric modeling of quantile regression coefficient functions with count data

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Statistical methods & applications, 2021-10, Vol.30 (4), p.1237-1258

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Parametric modeling of quantile regression coefficient functions with count data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2581837929

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581837929

Other Identifiers

ISSN

1618-2510

E-ISSN

1613-981X

DOI

10.1007/s10260-021-00557-7

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