bibtype M - Monography Chapter
ARLID 0351256
utime 20240103194311.5
mtime 20101215235959.9
title (primary) (eng) Goodness-of-Fit Criteria Based on Observations Quantized by Hypothetical and Empirical Percentiles
specification
page_count 56 s.
book_pages 1718
serial
ARLID cav_un_epca*0351255
ISBN 978-1-58488-711-9
title Handbook of Fitting Statistical Distributions with R
page_num 1-56
publisher
place Boca Raton
name CRC Press
year 2010
editor
name1 Karian
name2 Zaven A.
editor
name1 Dudewicz
name2 Edward J.
keyword Disparities
keyword Power divergences
keyword Empirical quantization
keyword Asymptotic normality
author (primary)
ARLID cav_un_auth*0101218
name1 Vajda
name2 Igor
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) 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/vajda-goodness-of-fit criteria based on observations quantized by hypothetical and empirical percentiles.pdf
cas_special
project
project_id GAP202/10/0618
agency GA ČR
ARLID cav_un_auth*0263481
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
permalink http://hdl.handle.net/11104/0191047
arlyear 2010
mrcbU63 cav_un_epca*0351255 Handbook of Fitting Statistical Distributions with R 978-1-58488-711-9 1 56 Boca Raton CRC Press 2010
mrcbU67 Karian Zaven A. 340
mrcbU67 Dudewicz Edward J. 340