Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Flexible Regression and Smoothing: Using GAMLSS in R

Simple item page
dc.contributor.authorWelsh, Alan
dc.date.accessioned2021-03-11T23:20:04Z
dc.date.issued2019
dc.date.updated2020-11-15T07:27:54Z
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1467-842Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/227126
dc.language.isoen_AUen_AU
dc.provenancehttps://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).
dc.publisherWileyen_AU
dc.rights© 2019 Australian Statistical Publishing Association Inc. Published by John Wiley & Sons Australia Pty Ltd.en_AU
dc.sourceAustralian & New Zealand Journal of Statisticsen_AU
dc.titleFlexible Regression and Smoothing: Using GAMLSS in Ren_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Access
local.bibliographicCitation.issue3en_AU
local.bibliographicCitation.lastpage395en_AU
local.bibliographicCitation.startpage392en_AU
local.contributor.affiliationWelsh, Alan, College of Business and Economics, ANUen_AU
local.contributor.authoruidWelsh, Alan, u8204947en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor010405 - Statistical Theoryen_AU
local.identifier.absfor010401 - Applied Statisticsen_AU
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciencesen_AU
local.identifier.ariespublicationu5786633xPUB1774en_AU
local.identifier.citationvolume61en_AU
local.identifier.doi10.1111/anzs.12272en_AU
local.identifier.thomsonIDWOS:000484382000001
local.publisher.urlhttps://www.wiley.com/en-gben_AU
local.type.statusAccepted Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
gamlss.pdf
Size:
104.12 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS