TL-Moments for Type-I Censored Data with an Application to the Weibull Distribution
1
Department of Statistics, Faculty of Commerce, Al-Azhar University (Girls’ Branch), Cairo, Egypt
2
Department of Mathematical Statistics, Institute of Statistics Studies and Research, Cairo University, Giza, Egypt
*
Author to whom correspondence should be addressed.
Math. Comput. Appl. 2018, 23(3), 47; https://doi.org/10.3390/mca23030047
Received: 31 July 2018
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Revised: 30 August 2018
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Accepted: 6 September 2018
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Published: 9 September 2018
This paper aims to provide an adaptation of the trimmed L (TL)-moments method to censored data. The present study concentrates on Type-I censored data. The idea of using TL-moments with censored data may seem conflicting. However, our perspective is that we can use data censored from one side and trimmed from the other side. This study is applied to estimate the two unknown parameters of the Weibull distribution. The suggested point is compared with direct L-moments and maximum likelihood (ML) methods. A Monte Carlo simulation study is carried out to compare these methods in terms of estimate average, root of mean square error (RMSE), and relative absolute biases (RABs).
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Keywords:
censored data; estimation; direct L-moments; TL-moments; maximum likelihood; Weibull distribution
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MDPI and ACS Style
Ibrahim, H.A.; Mahmoud, M.R.; Khalil, F.A.; El-Kelany, G.A. TL-Moments for Type-I Censored Data with an Application to the Weibull Distribution. Math. Comput. Appl. 2018, 23, 47. https://doi.org/10.3390/mca23030047
AMA Style
Ibrahim HA, Mahmoud MR, Khalil FA, El-Kelany GA. TL-Moments for Type-I Censored Data with an Application to the Weibull Distribution. Mathematical and Computational Applications. 2018; 23(3):47. https://doi.org/10.3390/mca23030047
Chicago/Turabian StyleIbrahim, Hager A., Mahmoud R. Mahmoud, Fatma A. Khalil, and Ghada A. El-Kelany. 2018. "TL-Moments for Type-I Censored Data with an Application to the Weibull Distribution" Mathematical and Computational Applications 23, no. 3: 47. https://doi.org/10.3390/mca23030047
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