0359392 20240103195146.720110510235959.9 000289919600005 10.1093/imaman/dpq010 13 s. cav_un_epca*02971901471-678X222 (2011)157-169 sport statistics record non-linear regression cav_un_auth*0101227 Volf Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. IAA101120604 GA AV ČR CZ cav_un_auth*0215816 CEZ:AV0Z10750506 A statistical model for development of track and field records is presented. The progression of the best results of each year is fitted by a non-linear regression model with non-constant variance. On this basis, the probability of a new record occurrence as well as the distribution of a new record improvement are derived. We also discuss the problems of record prediction and the existence of ultimate records. Our application deals with the men’s 100m sprint and the men’s long-jump data. 2012 BB http://hdl.handle.net/11104/0197186 MANAGEMENT 0.107 6.2 0.00078 174 28 0.384 Q2 15.850 Q3 2011 000289919600005 WOS cav_un_epca*0297190 IMA Journal of Management Mathematics 1471-678X 1471-6798 Roč. 22 č. 2 2011 157 169