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dc.contributor.authorBarentsen, Geert
dc.contributor.authorArlt, Rainer
dc.contributor.authorFröhlich, Hans-Erich
dc.date.accessioned2013-07-31T09:48:04Z
dc.date.available2013-07-31T09:48:04Z
dc.date.issued2011-10
dc.identifier.citationBarentsen , G , Arlt , R & Fröhlich , H-E 2011 , ' Estimating meteor rates using Bayesian inference ' , WGN, Journal of the International Meteor Organization , vol. 39 , no. 5 , pp. 126-130 .
dc.identifier.issn1016-3115
dc.identifier.otherPURE: 1772528
dc.identifier.otherPURE UUID: 380adf2e-8b0e-4b2b-82b5-11ee0f9b4d94
dc.identifier.otherArXiv: http://arxiv.org/abs/1112.4372v1
dc.identifier.urihttp://hdl.handle.net/2299/11235
dc.description.abstractA method for estimating the true meteor rate lambda from a small number of observed meteors n is derived. We employ Bayesian inference with a Poissonian likelihood function. We discuss the choice of a suitable prior and propose the adoption of Jeffreys prior, P(lambda)=lambda^-0.5, which yields an expectation value E(lambda) = n+0.5 for any n >= 0. We update the ZHR meteor activity formula accordingly, and explain how 68%- and 95%-confidence intervals can be computed.en
dc.language.isoeng
dc.relation.ispartofWGN, Journal of the International Meteor Organization
dc.subjectastro-ph.IM
dc.subjectstat.AP
dc.subjectastro-ph.EP
dc.titleEstimating meteor rates using Bayesian inferenceen
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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