Probabilistic innovative trend analysis

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dc.authorid0000-0003-2754-5492
dc.contributor.authorŞen, Zekai
dc.date.accessioned2020-04-20T11:03:56Z
dc.date.available2020-04-20T11:03:56Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThis paper proposes new methodology for trend analysis, named as the probabilistic innovative trend analysis (PITA), whereby instead of statistical parameters probability distribution functions play the major role. The basis of the methodology is to compare the cumulative probability distribution functions (CDF) for each half of a given hydro-meteorological records. The methodology is without any restrictive assumption. The application of the PITA methodology is presented for Danube River discharge, New Jersey statewise precipitation and Istanbul minimum temperature records.
dc.identifier.citationŞen, Z. (2020). Probabilistic innovative trend analysis. International Journal of Global Warming, 20(2), 93-105. https://dx.doi.org/10.1504/IJGW.2020.105387
dc.identifier.doi10.1504/IJGW.2020.105387
dc.identifier.endpage105
dc.identifier.issn1758-2083
dc.identifier.issn1758-2091
dc.identifier.issue2
dc.identifier.scopusqualityQ3
dc.identifier.startpage93
dc.identifier.urihttps://hdl.handle.net/20.500.12511/5175
dc.identifier.urihttps://dx.doi.org/10.1504/IJGW.2020.105387
dc.identifier.volume20
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInderscience Enterprises Ltd.
dc.relation.ispartofInternational Journal of Global Warmingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectClimate Change
dc.subjectClimate Variability
dc.subjectİnnovation
dc.subjectProbability
dc.subjectTrend
dc.subjectTime Series
dc.titleProbabilistic innovative trend analysis
dc.typeArticle

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