bibtype J - Journal Article
ARLID 0411016
utime 20240103182255.8
mtime 20060210235959.9
title (primary) (eng) On size increase for goodness of fit tests when observations are positively dependent
specification
page_count 16 s.
serial
ARLID cav_un_epca*0297175
ISSN 0721-2631
title Statistics & Decisions
volume_id 20
volume 4 (2002)
page_num 399-414
keyword goodnes-of-fit disparity tests
keyword power divergence tests
keyword positive dependence of data
author (primary)
ARLID cav_un_auth*0021123
name1 Molina
name2 I.
country ES
author
ARLID cav_un_auth*0015540
name1 Morales
name2 D.
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 GA102/99/1137
agency GA ČR
ARLID cav_un_auth*0004432
project
project_id GV99-159-1-01
agency DGES
country ES
project
project_id 2000-0800
agency BMF
country ES
research CEZ:AV0Z1075907
abstract (eng) We investigate the effect of positive dependence (in particular, of positive correlation) between observed data on the tests of simple and composite hypotheses based on disparities between empirical and theoretical probabilities of fixed bins in the observation space. We show that the experimental as well as theoretical conclusions achieved previously for the Pearson chi squared tests remain valid in the whole class of disparity tests under consideration.
RIV BB
department SI
permalink http://hdl.handle.net/11104/0131103
ID_orig UTIA-B 20030003
arlyear 2002
mrcbU63 cav_un_epca*0297175 Statistics & Decisions 0721-2631 Roč. 20 č. 4 2002 399 414