Compression for data archiving and backup revisited
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
We use the method of probability-weighted moments to derive estimators of the parameters and quantiles of the generalized extreme-value distribution. We investigate the properties of these estimators in large samples, via asymptotic theory, and in small and moderate samples, via computer simulation. Probability-weighted moment estimators have low variance and no severe bias, and they compare favorably with estimators obtained by the methods of maximum likelihood or sextiles. The method of probability-weighted moments also yields a convenient and powerful test of whether an extreme-value distribution is of Fisher-Tippett Type I, II, or III. © 1985 Taylor & Francis Group, LLC.
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
J. LaRue, C. Ting
Proceedings of SPIE 1989
Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
L Auslander, E Feig, et al.
Advances in Applied Mathematics