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Maximum likelihood estimators of the parameters of the generalized extreme-value distribution are derived for complete, left censored, right censored or doubly censored samples. Explicit expressions are provided for the observed information matrix which forms the basis of the iterative procedure described. It is shown that the inveise of this information matrix evaluated at the maximum likelihood estimates provides a better estimate of the variance-covanance matrix of the estimators than the expected information matrix.
Prescott et al. (Sat,) studied this question.