On a unit-EEG quantile regression analysis

dc.contributor.authorEl Moustapha Sidi, Mohamed
dc.contributor.authorKuş, Coşkun
dc.contributor.authorKokmaz, Mustafa Çağatay
dc.contributor.authorPekgör, Ahmet
dc.contributor.authorKarakaya, Kadir
dc.date.accessioned2025-03-14T11:58:15Z
dc.date.available2025-03-14T11:58:15Z
dc.date.issued2025
dc.departmentAÇÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümü
dc.description.abstractMany statistical distributions have been introduced in the past two decades. However, offering distribution with unit domain is becoming popular and quantile regression analysis is provided to demonstrate the applicability of introduced unit distributions. Unit distributions are used for modeling the recovery rate, mortality rate, proportion of the educational measurements, etc. The distribution with bounded support can be used for modeling the lifetime data. A failure time distribution with upper limit does not mean that all failures in a life test can be observed. From an engineering point of view, the bounded lifetime distribution is more appropriate than the lifetime distribution with infinite support because life is always finite. There are many practical situations that lead to bounded support in the areas of lifetime study and reliability engineering. For example, when failure or reliability life test data is collected by an automatic recorder, the lifetimes below L and above T (L < T) may not be measured at all due to the device’s resolving power or other environmental influences (Mang and Xie 2011). From this perspective, new distributions with bounded support such as the Beta or Kumaraswamy distribution are required for modeling such lifetime data. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003379881-14/unit-eeg-quantile-regression-analysis-mohamed-el-moustapha-sidi-co%C5%9Fkun-ku%C5%9F-mustafa-%C3%A7a%C4%9Fatay-kokmaz-ahmet-pekg%C3%B6r-kadir-karakaya
dc.identifier.isbn978-104030777-9, 978-103246056-7
dc.identifier.issue318
dc.identifier.urihttps://hdl.handle.net/11494/5444
dc.identifier.volume292
dc.indekslendigikaynakScopus
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoen
dc.publisherCRC Press
dc.relation.ispartofStatistical Outliers and Related Topics
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectUnit distributions
dc.subjectBounded support
dc.subjectQuantile regression
dc.subjectLifetime data
dc.titleOn a unit-EEG quantile regression analysis
dc.typeBook Chapter

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