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Saiful Islam Ansari
University of Tabuk
Computer Science & IT Electrical & Electronics Engineering

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Reliability estimation for the randomly censored pareto distribution Mahmoud M. Smadi; Saiful Islam Ansari; Ahmed A. Jaradat
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 4: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (525.916 KB) | DOI: 10.11591/ijece.v9i4.pp3272-3278

Abstract

Widespread applications of random censoring in life testing experiments to estimate reliability of engineering products or systems are avialable. Different parametric statistical models such as exponential, Rayleigh, Weibull and Maxwell distributions are used under random censoring scheme. In this paper, random censoring under Pareto distribution is considered. The maximum likelihood estimators (MLE’s) of the model parameters and survival function were derived along with Fisher information matrix and asymptotic confidence intervals. A simulation study was performed to observe the behavior of the MLE’s. The simulation results showed that the bias and MSE were reasonably small in all cases.
Co-Authors Ahmed A. Jaradat Mahmoud M. Smadi