Advances and Applications in Statistics
Volume 54, Issue 2, Pages 273 - 288
(February 2019) http://dx.doi.org/10.17654/AS054020273 |
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STATISTICAL INFERENCE OF THE EXPONENTIATED KUMARASWAMY-EXPONENTIAL DISTRIBUTION BASED ON COMPLETE AND TYPE II CENSORED SAMPLES
Aisha Fayomi, Dalal Mal and Samia Adham
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Abstract: In this paper, classical and Bayesian estimation methods of the unknown parameters of the exponentiated Kumaraswamy-exponential distribution are studied based on complete and Type II censored samples. The estimation is considered using method of moments, maximum likelihood estimation and Bayesian estimation methods. Moreover, the performance of the obtained estimators from the considered methods of estimation is compared using numerical study through Monte Carlo simulation for different sample sizes. Finally, two real data sets are analyzed for illustrative purposes. |
Keywords and phrases: Kumaraswamy distribution, maximum likelihood estimation, Bayesian estimation, Type II censored samples, Monte Carlo simulation.
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