bibtype J - Journal Article
ARLID 0411026
utime 20240103182256.4
mtime 20060210235959.9
title (primary) (eng) On efficiency of estimation and testing with data quantized to fixed number of cells
specification
page_count 27 s.
serial
ARLID cav_un_epca*0254350
ISSN 0026-1335
title Metrika
volume_id 57
volume 1 (2003)
page_num 1-27
keyword quantization
keyword Fisher information in quantized models
keyword convergence of Fisher information
author (primary)
ARLID cav_un_auth*0213002
name1 Mayoral
name2 A. M.
country ES
author
ARLID cav_un_auth*0015540
name1 Morales
name2 D.
country ES
author
ARLID cav_un_auth*0213003
name1 Morales
name2 J.
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 CEZ:AV0Z1075907
abstract (eng) In continuous parametrized models with i.i.d. observations we consider finite quantizations. We study asymptotic properties of the estimators minimizing disparity between the observed and expected frequencies in the quantization cells, and asymptotic properties of the goodnes of fit tests rejecting the hypotheses when the disparity is large. We show that the inefficiency of the estimators and tests can be measured by the decrease of the Fisher information due to quantization.
RIV BB
department SI
permalink http://hdl.handle.net/11104/0131113
ID_orig UTIA-B 20030013
arlyear 2003
mrcbU63 cav_un_epca*0254350 Metrika 0026-1335 1435-926X Roč. 57 č. 1 2003 1 27