Abstract
The Anderson-Darling distance d(Fn ,F0,) between the empirical distribution function Fn and the hypothesized model F0 is minimized to produce estimators with good robustness and efficiency properties. In addition, the residual distance dmin = min0d(Fn,F0.) is availabe to assess model validity. The approximate distribution-free character of ndmin is studied using monte carlo methods.

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