0493451 20240103220506.520180918235959.9 6 s. C cav_un_epca*0493555978-80-7378-371-6624-629PrahaMatfyzPress2018VáchováLucieKratochvílVáclav statistical analysis competing risks unemployment study cav_un_auth*0101227 Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics 100 Volf Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2018/SI/volf-0493451.pdf cav_un_auth*0363963 GA18-02739S GA ČR The study deals with the methods of statistical analysis in the situation of competing risks in the presence of regression. First, the problem of identification of marginal and joint distributions of competing random variables is recalled. The main objective is then to demonstrate that the parameters and, in particular, the correlation of competing variables, may depend on covariates. The approach is applied to solution of a real example with unemployment data. The model uses the Gauss copula and Cox’s regression model. cav_un_auth*0363994 36th International Conference Mathematical Methods in Economics 20180912 Jindřichův Hradec CZ 20180914 BB 10000 10100 10103 2019 1 PR RVO:67985556 http://hdl.handle.net/11104/0286985 S 2018 cav_un_epca*0493555 36th International Conference Mathematical Methods in Economics MatfyzPress 2018 Praha 624 629 978-80-7378-371-6 340 Váchová Lucie 340 Kratochvíl Václav