0351256 20240103194311.520101215235959.9 56 s. 1718 cav_un_epca*0351255978-1-58488-711-91-56Boca RatonCRC Press2010KarianZaven A.DudewiczEdward J. Disparities Power divergences Empirical quantization Asymptotic normality cav_un_auth*0101218 Vajda Igor Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0216450 van der Meulen E. BE http://library.utia.cas.cz/separaty/2010/SI/vajda-goodness-of-fit criteria based on observations quantized by hypothetical and empirical percentiles.pdf GAP202/10/0618 GA ČR cav_un_auth*0263481 CEZ:AV0Z10750506 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. 2011 BD http://hdl.handle.net/11104/0191047 2010 cav_un_epca*0351255 Handbook of Fitting Statistical Distributions with R 978-1-58488-711-9 1 56 Boca Raton CRC Press 2010 Karian Zaven A. 340 Dudewicz Edward J. 340