Ústav teorie informace a automatizace

Jste zde

Bibliografie

Journal Article

Minimum divergence estimators based on grouped data

Menéndez M. L., Morales D., Pardo L., Vajda Igor

: Annals of the Institute of Statistical Mathematics vol.53, 2 (2001), p. 277-288

: AV0Z1075907

: GA102/99/1137, GA ČR

: minimum divergence estimators, random quantization, asymptotic normality

(eng): It is shown that an optimal grouping of data (quantification) leads to a negligible inefficiency in continuous parametric models. Robust estimators achieving the negligible inefficiency are introduced and their asymptotic theory is established.

: 12B

: BB

07.01.2019 - 08:39