A graphical tool for assessing the suitability of a count regression model
dc.contributor.author | Wilson, Paul | |
dc.contributor.author | Einbeck, Jochen | |
dc.date.accessioned | 2019-08-08T11:14:52Z | |
dc.date.available | 2019-08-08T11:14:52Z | |
dc.date.issued | 2021-01-27 | |
dc.identifier.citation | Wilson, P. and Einbeck, J. (2021) A graphical tool for assessing the suitability of a count regression model, Austrian Journal of Statistics, 50, pp. 1–23. | en |
dc.identifier.issn | 1026-597X | en |
dc.identifier.doi | 10.17713/ajs.v50i1.921 | |
dc.identifier.uri | http://hdl.handle.net/2436/622632 | |
dc.description.abstract | Whilst many numeric methods, such as AIC and deviance, exist for assessing or comparing model fit, diagrammatic methods are few. We present here a diagnostic plot, which we refer to as a ‘Quantile Band plot’, that may be used to visually assess the suitability of a given count data model. In the case of diagnosed model inadequacy, the plot has the unique feature of conveying precise information on the character of the violation, hence pointing the data analyst towards a potentially better model choice. | en |
dc.format | application/PDF | en |
dc.language.iso | en | en |
dc.publisher | Österreichische Statistische Gesellschaft (Austrian Society for Statistics) | en |
dc.relation.url | https://www.ajs.or.at/index.php/ajs | en |
dc.subject | Quantile regression | en |
dc.subject | Zero-modified model | en |
dc.subject | Discretised lognormal distribution | en |
dc.subject | Ordinary least squares regression | en |
dc.title | A graphical tool for assessing the suitability of a count regression model | en |
dc.type | Journal article | en |
dc.identifier.journal | Austrian Journal of Statistics | en |
dc.date.updated | 2019-08-07T15:23:59Z | |
dc.date.accepted | 2019-04-01 | |
rioxxterms.funder | University of Wolverhampton | |
rioxxterms.identifier.project | UOW080819PW | en |
rioxxterms.version | VoR | en |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0/ | en |
rioxxterms.licenseref.startdate | 2021-01-27 | en |
dc.source.volume | 50 | |
dc.source.issue | 1 | |
refterms.dateFCD | 2019-08-08T11:11:56Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-08-08T11:14:53Z |