Open Research

Flexible Regression and Smoothing: Using GAMLSS in R

dc.contributor.author	Welsh, Alan
dc.date.accessioned	2021-03-11T23:20:04Z
dc.identifier.issn	1467-842X
dc.identifier.uri	http://hdl.handle.net/1885/227126
dc.format.mimetype	application/pdf
dc.language.iso	en_AU
dc.publisher	Wiley
dc.rights	© 2019 Australian Statistical Publishing Association Inc. Published by John Wiley & Sons Australia Pty Ltd.
dc.source	Australian & New Zealand Journal of Statistics
dc.title	Flexible Regression and Smoothing: Using GAMLSS in R
dc.type	Journal article
local.description.notes	Imported from ARIES
local.identifier.citationvolume	61
dc.date.issued	2019
local.identifier.absfor	010405 - Statistical Theory
local.identifier.absfor	010401 - Applied Statistics
local.identifier.ariespublication	u5786633xPUB1774
local.publisher.url	https://www.wiley.com/en-gb
local.type.status	Accepted Version
local.contributor.affiliation	Welsh, Alan, College of Business and Economics, ANU
local.bibliographicCitation.issue	3
local.bibliographicCitation.startpage	392
local.bibliographicCitation.lastpage	395
local.identifier.doi	10.1111/anzs.12272
local.identifier.absseo	970101 - Expanding Knowledge in the Mathematical Sciences
dc.date.updated	2020-11-15T07:27:54Z
local.identifier.thomsonID	WOS:000484382000001
dcterms.accessRights	Open Access
dc.provenance	https://v2.sherpa.ac.uk/id/publication/4744..."The Accepted Version can be archived in a Non-Commercial Institutional Repository. 12 months embargo" from SHERPA/RoMEO site (as at 1/12/2022).
Collections	ANU Research Publications

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.