For a probability distribution with power law tails, a log-log transformation makes the tails of the empirical distribution function resemble a straight line, leading to a least-squares estimate of the tail thickness. Taking into account the mean and covariance structure of the extreme order statistics leads to improved tail estimators, and a surprising connection with Hill's estimator. © 2002 Elsevier B.V. All rights reserved.
