Generalized proportional reversed hazard rate distributions with application in medicine

被引：0
|
作者：
Božidar V. Popović
Ali İ. Genç
Filippo Domma
机构：
[1] Faculty of Science and Mathematics,University of Montenegro
[2] Cukurova University,Department of Statistics
[3] University of Calabria,Department of Economics, Statistics and Finance, “G. Anania”
来源：
Statistical Methods & Applications | 2022年 / 31卷
关键词：
Generalized proportional reversed hazard rate; Extension of Azzalini’s method; Farlie–Gumbel–Morgenstern copula function; Hidden truncation; Application in medicine; 62E15; 62H10; 62P10;
D O I：
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学科分类号：
摘要：
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.
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页码：459 / 480
页数：21
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