On the strong law of large numbers for nonnegative random variables. With an application in survey sampling

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dc.contributor.authorSchoch, Tobias
dc.date.accessioned2024-03-19T13:49:00Z
dc.date.available2024-03-19T13:49:00Z
dc.date.issued2021
dc.description.abstractStrong laws of large numbers with arbitrary norming sequences for nonnegative not necessarily independent random variables are obtained. From these results we establish, among other things, stability results for weighted sums of nonnegative random variables. A survey sampling application is provided on strong consistency of the Horvitz-Thompson estimator and the ratio estimator.
dc.identifier.doi10.17713/AJS.V50I3.631
dc.identifier.issn1026-597X
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/43062
dc.identifier.urihttps://doi.org/10.26041/fhnw-7027
dc.issue3
dc.language.isoen
dc.publisherAustrian Statistical Society
dc.relation.ispartofAustrian Journal of Statistics
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.spatialWien
dc.subject.ddc330 - Wirtschaft
dc.titleOn the strong law of large numbers for nonnegative random variables. With an application in survey sampling
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume50
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaftde_CH
fhnw.affiliation.institutInstitute for Competitiveness and Communicationde_CH
fhnw.openAccessCategoryDiamond
fhnw.pagination1-12
fhnw.publicationStatePublished
relation.isAuthorOfPublication39a57657-8c2e-4332-ac6f-ab07436a9fcb
relation.isAuthorOfPublication.latestForDiscovery39a57657-8c2e-4332-ac6f-ab07436a9fcb
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