Skip navigation
Skip navigation

The Stabilisation of Model Parameter Estimates from Repeated Surveys with Rare Observations

Welsh, Alan; Hedlin, Dan; Sova, Markus G.

Description

In many surveys, the domains of study are small and the samples that carry information on a domain can be very small indeed. If the survey is conducted repeatedly there is often a high degree of overlap in samples over time. We show how to use the richnes

dc.contributor.authorWelsh, Alan
dc.contributor.authorHedlin, Dan
dc.contributor.authorSova, Markus G.
dc.date.accessioned2015-12-07T22:19:49Z
dc.identifier.issn1369-1473
dc.identifier.urihttp://hdl.handle.net/1885/19530
dc.description.abstractIn many surveys, the domains of study are small and the samples that carry information on a domain can be very small indeed. If the survey is conducted repeatedly there is often a high degree of overlap in samples over time. We show how to use the richnes
dc.publisherBlackwell Publishing Ltd
dc.sourceAustralian and New Zealand Journal of Statistics
dc.titleThe Stabilisation of Model Parameter Estimates from Repeated Surveys with Rare Observations
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume55
dc.date.issued2014
local.identifier.absfor010401 - Applied Statistics
local.identifier.ariespublicationu5328909xPUB8
local.type.statusPublished Version
local.contributor.affiliationWelsh, Alan, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationHedlin, Dan, Department of Statistics, Stockholm University
local.contributor.affiliationSova, Markus G., Office for National Statistics
local.bibliographicCitation.issue4
local.bibliographicCitation.startpage471
local.bibliographicCitation.lastpage491
local.identifier.doi10.1111/anzs.12056
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
dc.date.updated2015-12-07T08:42:03Z
local.identifier.scopusID2-s2.0-84892899938
CollectionsANU Research Publications

Download

There are no files associated with this item.


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

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator