0351906 20240103194352.920101215235959.9 Praha 2010 53 s. Research Report 2292 power divergences goodness-of-fit asymptotic normality, cav_un_auth*0101069 Boček Pavel Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. 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/bocek-goodness-of-fit disparity statistics obtained by hypothetical and empirical quantizations.pdf 1M0572 GA MŠk cav_un_auth*0001814 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 4 O 4o 20231122134326.4 http://hdl.handle.net/11104/0191543 2010 Soubory v repozitáři: 0351906.pdf 2010 Praha