0447281 20240103210553.820150925235959.9 000387898900151 6 s. C cav_un_epca*0447280978-80-261-0539-8882-887PlzeňUniversity of West Bohemia, Plzeň2015 statistics competing risks, copula unemployment study cav_un_auth*0101227 Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Volf Petr UTIA-B K Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/SI/volf-0447281.pdf cav_un_auth*0292652 GA13-14445S GA ČR This study is concerned with the analysis of dependence of random variables - latent times to events, in a competing risks case. We discuss first the problem of identifiability of marginal and joint distributions of competing random variables. Then, the copula models are utilized in order to express the dependence. Finally, the Gauss copula is used to solution of a real example with unemployment data. cav_un_auth*0320824 Mathematical Methods in Economics 2015 /33./ 09.09.2015-11.09.2015 Cheb CZ BB 2016 PR RVO:67985556 http://hdl.handle.net/11104/0249571 S 2015 000387898900151 WOS cav_un_epca*0447280 Procedings of the 33rd International Conference Mathematical Methods in Economics MME 2015 978-80-261-0539-8 882 887 Plzeň University of West Bohemia, Plzeň 2015