Rayleigh Uniform {Log-logistic} distribution And Aplications | ||||
| المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر | ||||
| Article 3, Volume 27, Issue 1, January 2022, Page 48-71 PDF (877.56 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jsfc.2021.293206 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Abdelhamid M. Rabie* 1; Mostafa Abdelhamid2; Mahmoud Wahba1 | ||||
| 1Faculty of Commerce Alazhar University | ||||
| 2Faculty of Graduated Studies for Statistical Research, Cairo University. | ||||
| Abstract | ||||
| In this paper we introduce Rayleigh uniform {log-logsitic} (RU {LL}) distribution. Properties of RU {LL} distribution namely, density function g(x), the ordinary moments, quintile function, mean residual life, Renyi entropy are introduced. Four methods of estimation of the RU{LL} distribution based on complete sampling are introduced. A Monte Carlo simulation study based on R software to evaluate the performance of the estimation methods and to calculate the measures and main formulas introduced in this paper | ||||
| Keywords | ||||
| Rayleigh distribution; T-χ families; mean residual life; Renyi entropy | ||||
| References | ||||
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