The Kumaraswamy Marshal-Olkin Flexible Weibull Distribution and Its applications to Complete Sample | ||||
| المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر | ||||
| Article 13, Volume 18, Issue 2, 2017, Page 1-118 | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jsfc.2017.25912 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ahmed Hussein | ||||
| M. E. Habib, T. M. Shams, and A. A. Hussein Faculty of Commerce, Al-Azhar University | ||||
| Abstract | ||||
| Based on the Kumaraswamy Marshal-Olkin distribution (Gauss M. Cordeiro et al 2015), we study the so-called the Kumaraswamy Marshal-Olkin Flexible Weibull (“KUMOFW” for short) distribution, for the first time the KUMOFW distribution is introduced and studied. We present some structural properties of the proposed distribution, including explicit expressions for the moments. The method of maximum likelihood is used to estimate the model parameters. We illustrate the importance of the new model by means of application to real data set. | ||||
Highlights | ||||
Kumaraswamy-Marshal-Olkin generalization distribution, Flexible Weibull | ||||
| Keywords | ||||
| Kumaraswamy-Marshal-Olkin generalization distribution; Flexible Weibull Distribution; Estimation Process; kurtosis; skewness; MLE; Reliability | ||||
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