Quantile Estimates in Complete and Censored Samples From Extreme-Value and Weibull Distributions

This paper deals with the problem of estimating the quantiles (ξ) = 0.01, 0.05(0.05)0.95, 0.99 of the largest extreme-value distribution by using order statistics in small samples. Linear unbiased estimators, with minimum variance, based on ordered observations are constructed for sample sizes 5(5)20 for both complete and right-censored samples.