bibtype J - Journal Article
ARLID 0410734
utime 20240103182235.5
mtime 20060210235959.9
title (primary) (eng) Minimum disparity estimators for discrete and continuous models
specification
page_count 28 s.
serial
ARLID cav_un_epca*0290654
ISSN 0862-7940
title Applications of Mathematics
volume_id 46
volume 6 (2001)
page_num 439-466
publisher
name Springer
keyword divergence
keyword disparity
keyword minimum disparity estimators
author (primary)
ARLID cav_un_auth*0212088
name1 Menéndez
name2 M. L.
country ES
author
ARLID cav_un_auth*0021073
name1 Pardo
name2 L.
country ES
author
ARLID cav_un_auth*0101218
name1 Vajda
name2 Igor
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 12B
cas_special
project
project_id IAA1075101
agency GA AV ČR
ARLID cav_un_auth*0012783
research AV0Z1075907
abstract (eng) Disparities of discrete distributions are introduced as a natural and useful extension of the information-theoretic divergences. The minimum disparity point estimators are studied in regular discrete models with i.i.d. observations and their asymptotic efficiency of the first order, in the sense of Rao, is proved. These estimators are applied to continuous models with i.i.d. observations when the observation space is quantized by fixed points, or at random, by the sample quantiles of fixed orders.
RIV BB
department SI
permalink http://hdl.handle.net/11104/0130822
ID_orig UTIA-B 20010203
arlyear 2001
mrcbU63 cav_un_epca*0290654 Applications of Mathematics 0862-7940 1572-9109 Roč. 46 č. 6 2001 439 466 Springer