The proposed estimators are based on weighted samples that are neither independent nor identically distributed. Using a new law of iterated logarithm for martingales, the article proves convergence of the estimators for general distributions with non-unique quantiles, thereby extending the work of Feldman and Tucker (Ref. 1). The algorithm is illustrated with an example from credit portfolio risk analysis. (33 refs.)
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