An algorithm based on the use of probability weighted moments allows estimation of the parameters of the Wakeby distribution. In the case where the lower bound is known, the quantile estimates, unlike the parameter estimates, tend to be neither highly biased nor highly variable, even for samples of small size ( n = 5).
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Landwehr et al. (1979) studied this question.
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