new families of distributions by adding a parameter to a distribution. In this paper, Marshall-Olkin extended Topp-Leone (MOETL) distribution is introduced. Some statistical properties of the MOETL are studied. The performance of the maximum likelihood estimates is investigated by means of a Marckov chain Monte Carlo (MCMC) simulation study. Model parameters are obtained using maximum likelihood method of estimation. Life time data analysis is performed to demonstrate the models applicability and flexibility. Akaike and Bayesian information criteria (AIC, BIC) illustrate the extended distribution provides better fit compared to the original distribution.
نقاط رئيسية
Marshall Olkin Extended, Topp–Leone Distribution, Maximum Likelihood Estimates. MCMC .
A. TALAAT, AMEL. (2018). Marsall Olkin extended Topp–Leone distribution. المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 19(1), 1-14. doi: 10.21608/jsfc.2018.56970
MLA
AMEL A. TALAAT. "Marsall Olkin extended Topp–Leone distribution", المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 19, 1, 2018, 1-14. doi: 10.21608/jsfc.2018.56970
HARVARD
A. TALAAT, AMEL. (2018). 'Marsall Olkin extended Topp–Leone distribution', المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 19(1), pp. 1-14. doi: 10.21608/jsfc.2018.56970
VANCOUVER
A. TALAAT, AMEL. Marsall Olkin extended Topp–Leone distribution. المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 2018; 19(1): 1-14. doi: 10.21608/jsfc.2018.56970
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