Modeling radiation and engineering data using the exponentiated generalized Topp-Leone exponential model

IF 1.7 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Majdah Mohammed Badr, Jumanah Ahmed Darwish, Fatimah Alkhathaami
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引用次数: 0

Abstract

In this article, a four parameter distribution is proposed which is known as exponentiated generalized Topp Leone – exponential distribution (EGTLED). Some statistical properties of the proposed EGTLED are studied. The maximum likelihood estimation (MLE) approach is used to estimate the parameters of the EGTLED. A simulation is also studied to see the performance of the method of estimation. Finally, two real data applications related to radiation and engineering sciences are also done. It is shown that the proposed EGTLED is suitable fit for the data that used.
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来源期刊
自引率
5.90%
发文量
130
审稿时长
16 weeks
期刊介绍: Journal of Radiation Research and Applied Sciences provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and applications of nuclear, radiation and isotopes in biology, medicine, drugs, biochemistry, microbiology, agriculture, entomology, food technology, chemistry, physics, solid states, engineering, environmental and applied sciences.
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