bibtype V - Research Report
ARLID 0351906
utime 20240103194352.9
mtime 20101215235959.9
title (primary) (eng) Goodness-of-Fit Disparity Statistics Obtained by Hypothetical and Empirical Quantizations
publisher
place Praha
pub_time 2010
specification
page_count 53 s.
edition
name Research Report
volume_id 2292
keyword power divergences
keyword goodness-of-fit
keyword asymptotic normality,
author (primary)
ARLID cav_un_auth*0101069
name1 Boček
name2 Pavel
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101218
name1 Vajda
name2 Igor
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0216450
name1 van der Meulen
name2 E.
country BE
source
url http://library.utia.cas.cz/separaty/2010/SI/bocek-goodness-of-fit disparity statistics obtained by hypothetical and empirical quantizations.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) Goodness-of-fit disparity statistics are defined as appropriately scaled phi-disparities or phi-divergences of quantized hypothetical and empirical distributions. It is shown that the classical Pearson-type statistics are obtained if we quantize by means of hypothetical percentiles, and that new spacings-based disparity statistics are obtained if we quantize by means of empirical percentiles.
reportyear 2011
RIV BD
mrcbC52 4 O 4o 20231122134326.4
permalink http://hdl.handle.net/11104/0191543
arlyear 2010
mrcbTft \nSoubory v repozitáři: 0351906.pdf
mrcbU10 2010
mrcbU10 Praha