bibtype J - Journal Article
ARLID 0410985
utime 20240103182253.6
mtime 20060210235959.9
title (primary) (eng) Monte Carlo comparison of four normality tests using different entropy estimates
specification
page_count 25 s.
serial
ARLID cav_un_epca*0256434
ISSN 0361-0918
title Communications in Statistics - Simulation and Computation
volume_id 30
volume 4 (2001)
page_num 761-785
publisher
name Taylor & Francis
keyword test of normality
keyword entropy test and entropy estimator
keyword table of critical values
author (primary)
ARLID cav_un_auth*0212990
name1 Esteban
name2 M. D.
country ES
author
ARLID cav_un_auth*0212991
name1 Castellanos
name2 M. E.
country ES
author
ARLID cav_un_auth*0015540
name1 Morales
name2 D.
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 09J
cas_special
project
project_id GA102/99/1137
agency GA ČR
ARLID cav_un_auth*0004432
research CEZ:AV0Z1075907
abstract (eng) The paper studies four entropy tests of normality of real valued observations using four statistics based on different entropy estimates from n i.i.d. observations. For the test size alpha around 0.05 and sample sizes (n) between 5 and 50, it presents critical values of the test statistics. It also compares the power and robustness of these four tests using Monte Carlo computations for sample sizes n=10 and n=20.
RIV BD
department SI
permalink http://hdl.handle.net/11104/0131072
ID_orig UTIA-B 20020199
arlyear 2001
mrcbU63 cav_un_epca*0256434 Communications in Statistics - Simulation and Computation 0361-0918 1532-4141 Roč. 30 č. 4 2001 761 785 Taylor & Francis