Robust methods for survey research

dc.contributorHulliger, Beat
dc.contributorSterchi, Martin
dc.contributorSchoch, Tobias
dc.date.accessioned2024-02-01T12:46:21Z
dc.date.available2024-02-01T12:46:21Z
dc.description.abstractClassical robust statistics provides methods for dealing with outliers and these methods are now implemented in many software packages such as SAS and R. Complex surveys pose special problems that cannot be dealt with by the classical approach. Progress has been made in adapting robust methods to the context of survey research, and the methods can be used by experts in these methods and with sufficient programming skills. However, the methods and programmes have not yet reached a wider community. The prototypes have been programmed in the open source statistical environment and language R. The aim of the project is to give a wider community of researchers access to these specialised robust methods for survey data. The prototypes need to be tested, documented, packaged and published, and some new methods should be added. The result of the project will be an integrated suite of packages in R with documentation to enable non-specialists to use them. A vignette explaining the use of the packages to novice users will also be published. The survey research community would benefit from well-documented access to these new methods.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/43510
dc.subjectRobustness
dc.subjectSurvey sampling
dc.subject.ddc330 - Wirtschaft
dc.titleRobust methods for survey research
dc.type00 - Projektde_CH
dspace.entity.typeProject
fhnw.InventedHereYes
fhnw.Project.ContactSchoch, Tobias
fhnw.Project.End2019-05-31
fhnw.Project.FinanceHasler Stiftung
fhnw.Project.ManagerHulliger, Beat
fhnw.Project.ProviderHasler Stiftung
fhnw.Project.Start2018-01-01
fhnw.Project.Stateabgeschlossen
fhnw.Project.Typeangewandte Forschung
fhnw.affiliation.hochschuleHochschule für Wirtschaftde_CH
fhnw.affiliation.institutInstitute for Competitiveness and Communication
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