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A strategy for modelling heavy-tailed greenhouse gases (GHG) data using the generalised extreme value distribution : Are we overestimating GHG flux using the sample mean?

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dc.contributor.authorDhanoa, M S
dc.contributor.authorLouro, Aranzazu
dc.contributor.authorCardenas, Laura M.
dc.contributor.authorShepherd, Anita
dc.contributor.authorSanderson, Ruth
dc.contributor.authorLopez, Secundino
dc.contributor.authorFrance, James
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.date.accessioned2021-04-16T23:08:01Z
dc.date.available2021-04-16T23:08:01Z
dc.date.embargoedUntil2021-04-17
dc.date.issued2020-09-15
dc.descriptionCRediT authorship contribution statement M.S. Dhanoa: Conceptualization, Methodology, Formal analysis, Writing - original draft. A. Louro: Resources, Data curation. L.M. Cardenas: Funding acquisition, Writing - original draft, Writing - review & editing. A. Shepherd: Writing - original draft. R. Sanderson: Writing - review & editing. S. Lopez: Writing - review & editing. J. France: Methodology, Writing - review & editing. The work was supported by the Biotechnology and Biological Sciences Research Council (BB/P01268X/1, BBS/E/C/000I0320).en
dc.description.statusPeer revieweden
dc.format.extent8
dc.format.extent1287748
dc.identifier148769174
dc.identifier51df82a8-e928-4898-a617-bf461a3ebdb6
dc.identifier85087308864
dc.identifier000558538000002
dc.identifier.citationDhanoa, M S, Louro, A, Cardenas, L M, Shepherd, A, Sanderson, R, Lopez, S & France, J 2020, 'A strategy for modelling heavy-tailed greenhouse gases (GHG) data using the generalised extreme value distribution : Are we overestimating GHG flux using the sample mean?', Atmospheric Environment, vol. 237, 117500. https://doi.org/10.1016/j.atmosenv.2020.117500en
dc.identifier.doi10.1016/j.atmosenv.2020.117500
dc.identifier.issn1352-2310
dc.identifier.otherORCID: /0000-0003-1902-5147/work/79058622
dc.identifier.urihttps://hdl.handle.net/2164/16268
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85087308864&partnerID=8YFLogxKen
dc.identifier.vol237en
dc.language.isoeng
dc.relation.ispartofAtmospheric Environmenten
dc.subjectnitrous oxideen
dc.subjectcarbon dioxideen
dc.subjectGeneralised extreme valueen
dc.subjectFinney correctionen
dc.subjectHeavy-tailed dataen
dc.subjectskewness correctionen
dc.subjectCarbon dioxideen
dc.subjectNitrous oxideen
dc.subjectSkewness correctionen
dc.subjectQH301 Biologyen
dc.subjectGeneral Environmental Scienceen
dc.subjectAtmospheric Scienceen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectBB/P01268X/1en
dc.subjectBBS/E/C/000I0320en
dc.subject.lccQH301en
dc.titleA strategy for modelling heavy-tailed greenhouse gases (GHG) data using the generalised extreme value distribution : Are we overestimating GHG flux using the sample mean?en
dc.typeJournal articleen

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