Maximum Likelihood Estimation of Burr Type V Distribution under Left Censored Samples

The paper deals with the maximum likelihood estimation of the parameters of the Burr type V distribution based on left censored samples. The maximum likelihood estimators (MLE) of the parameters have been derived and the Fisher information matrix for the parameters of the said distribution has been obtained explicitly. The confidence intervals for the parameters have also been discussed. A simulation study has been conducted to investigate the performance of the point and interval estimates.

• N. Feroze
• M. Aslam

• Fisher information matrix
• confidence intervals
• censoring.

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