Generalized proportional reversed hazard rate distributions with application in medicine

Božidar V. Popović (), Ali İ. Genç and Filippo Domma
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Božidar V. Popović: Faculty of Science and Mathematics
Ali İ. Genç: Cukurova University
Filippo Domma: University of Calabria

Statistical Methods & Applications, 2022, vol. 31, issue 3, No 1, 459-480

Abstract: Abstract 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.

Keywords: Generalized proportional reversed hazard rate; Extension of Azzalini’s method; Farlie–Gumbel–Morgenstern copula function; Hidden truncation; Application in medicine; 62E15; 62H10; 62P10 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10260-021-00583-5

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