0365979 20240103195719.820120124235959.9 1 s. cav_un_epca*035248926-26PrahaÚTIA AV ČR2010IvánekJiříJanžuraMartin divergence 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*0259047 van der Meulen Edward BE http://library.utia.cas.cz/separaty/2010/SI/bocek-asymptotic properties and numerical comparison of spacings-based power divergence statistics.pdf 1M0572 GA MŠk cav_un_auth*0001814 CEZ:AV0Z10750506 Measures of dissimilarity in the goodness of fit tests are defined as an appropriately scaled divergence between kvantizovanými hypothetical and empirical distributions. It is shown that hypothetical quantization generates statistical criterion clasická Pearson type, while the empirical quantization generates asymptotically equivalent to the classical criteria for incremental statistical criteria. Asymptotic properties are derived empirically generated criteria and proved quadratic optimality criteria. cav_un_auth*0275441 International Workshop Jindřichův Hradec DAR Jindřichův Hradec 2.12.2010 CZ 2012 BB 3 4 O 4o 20231122134726.8 http://hdl.handle.net/11104/0201096 2010 Soubory v repozitáři: 0365979.pdf cav_un_epca*0352489 Abstracts of Contributions to 6th International Workshop on Data – Algorithms – Decision Making 26 26 Praha ÚTIA AV ČR 2010 Ivánek Jiří 340 Janžura Martin 340