On a unit-EEG quantile regression analysis
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Dosyalar
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
CRC Press
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Özet
Many 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
Açıklama
Anahtar Kelimeler
Unit distributions, Bounded support, Quantile regression, Lifetime data
Kaynak
Statistical Outliers and Related Topics
WoS Q Değeri
Scopus Q Değeri
Cilt
292
Sayı
318
