Generalized proportional reversed hazard rate distributions with application in medicine

Popovic B. V., GENÇ A. İ., Domma F.

STATISTICAL METHODS AND APPLICATIONS, cilt.31, sa.3, ss.459-480, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 3
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s10260-021-00583-5
  • Dergi Adı: STATISTICAL METHODS AND APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Computer & Applied Sciences, EconLit, Psycinfo, zbMATH
  • Sayfa Sayıları: ss.459-480
  • Anahtar Kelimeler: Generalized proportional reversed hazard rate, Extension of Azzalini's method, Farlie-Gumbel-Morgenstern copula function, Hidden truncation, Application in medicine, WEIBULL DISTRIBUTION, REGRESSION-MODELS, BATHTUB, FAMILY
  • Çukurova Üniversitesi Adresli: Evet

Özet

Proportional reversed hazard rate distribution family plays an important role in the reliability and lifetime data modelling. In this manuscript this family of distributions is generalized in order to enhance its modelling capability. Considering a special case, we introduce the extended generalized exponential distribution. Its mathematical properties are also studied. New model is applied in fitting levels of TSH hormone and remission times of bladder cancer patients. We believe these results may attract applied statisticians especially those who are in charge with life time data analysis.