A New Pareto Model: Risk Application, Reliability MOOP and PORT Value-at-Risk Analysis

被引:0
|
作者
Yousof, Haitham M. [1 ]
Aljadani, Abdussalam [2 ]
Mansour, Mahmoud M. [1 ,3 ]
Abd Elrazik, Enayat M. [1 ,3 ]
机构
[1] Benha Univ, Dept Stat Math & Insurance, Banha, Egypt
[2] Taibah Univ, Coll Business Adm Yanbu, Dept Management, Al Madinah 41411, Saudi Arabia
[3] Taibah Univ, Dept Management Informat Syst, Yanbu 46421, Saudi Arabia
关键词
Mean-of-order P; Pareto type-II; peaks over randomthreshold value at risk; risk analysis; reliabyilit data; optimal order of P; OF-FIT TEST; SQUARE TYPE TEST; REGRESSION-MODEL; MATHEMATICAL PROPERTIES; STATISTICAL PROPERTIES; CENSORED VALIDATION; INSURANCE DATA; G FAMILY; COPULA; DISTRIBUTIONS;
D O I
10.18187/pjsor.v20i3.4151
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The paper introduces a new reliability Burr Pareto type-II model, showcasing its versatility and effectiveness in engineering applications, particularly in analyzingthe failure and service times of aircraft windshields. The BUPII model's application in failure analysis offers insights into the probabilistic behavior of windshield failures, aiding in risk prediction and management. Similarly, itsextnsion e xtnsion to service time analysis demonstrates its uility t s uility in optimizing maintenance schedules and operational efficiency. Moreover, the paper conducts a rigorous mean-oforder P analysis under both failure and service etimdatasets, validating the new model's reliability assessment capabilities. Furthermore, employing the peaks overrandom threshold value at risk analysis highlightsthe model's practical relevance in quantifying financial risksasociated s asociated with extreme events. Overall, the novel probability distribution emerges as a valuable tool for engineers and researchers involved in reliability and riskanalysis, promising advancements in understanding and managing the reliability of engineering systems. Future research could explore broader applications and refined methodologies to further enhance predictive capabilities and decision-making support
引用
收藏
页码:383 / 407
页数:25
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