Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications

被引:7
|
作者
Gadallah, A. M. [1 ]
Mohammed, B. I. [2 ]
Al-Babtain, Abdulhakim A. [3 ]
Khosa, Saima Khan [4 ]
Kilai, Mutua [5 ]
Yusuf, M. [6 ]
Bakr, M. E. [7 ]
机构
[1] Thebes Acad, Thebes Higher Inst Engn, Dept Basic Sci, Cairo, Egypt
[2] Al Azhar Univ, Fac Sci, Dept Math, 1st El Mokhaim El Madem St,Nasr City 11884, Cairo 11451, Egypt
[3] King Saud Univ, Coll Sci, Dept Stat & Operat Res, POB 2455, Riyadh 11451, Saudi Arabia
[4] Stat Univ Saskatchewan, Dept Math, Saskatoon, SK, Canada
[5] Pan African Insitute Basic Sci Technol & Innovat, Dept Math, Nairobi, Kenya
[6] Helwan Univ, Dept Math, Cairo, Egypt
[7] Giza Higher Inst Engn & Technol, Dept Basic Sci, Cairo, Egypt
关键词
NBU(2); CLOSURE;
D O I
10.1155/2022/5075716
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We hope to assess the different processing methodologies or the effectiveness of the devices or systems applied in this nonparametric statistical test by observing the failure behavior of the recorded survival data. The proposed second-order approach of new better than used (NBU 2) will be employed, which requires that the test data behaves either like NBU 2 property or exponentially. If the survival data is NBU 2, the proposed treatment method is likely to be beneficial. If the data are exponential, on the other hand, the recommended treatment method has no positive or negative influence on patients, as shown in the application section. To establish the validity of the test, we calculated the power of the proposed test and efficiency on both complete and censored data, compared the results to those of existing tests, and then applied the test to a range of real-world data.
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页数:8
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