0509032 20240103222629.320191001235959.9 9788073947606 České Budějovoce University of South Bohemia in České Budějovice 2019 6 s. P cav_un_epca*0462920978-80-7494-296-914-19LiberecTechnical University2016KocourekA. mathematical statistics survival analysis unemployment data cav_un_auth*0101227 Department of Stochastic Informatics 100 Volf Petr UTIA-B Stochastická informatika Department of Stochastic Informatics SI SI Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/SI/volf-0509032.pdf cav_un_auth*0363963 GA18-02739S GA ČR The contribution deals with the application of statistical survival analysis with the intensity described by a generalized version of Cox regression model with time dependent parameters. A method of model components non-parametric estimation is recalled, the flexibility of result is assessed with a goodness-of-fit test based on martingale residuals. The application concerns to the real data representing the job opportunities development and reduction, during a given period. The risk of leaving the company is changing in time and depends also on the age of employees and their time with company. Both these covariates are considered and their impact to the risk analyzed. cav_un_auth*0379399 MME 2019: International Conference on Mathematical Methods in Economics /37./ 20190911 20190913 České Budějovice CZ BB 10000 10100 10103 2020 1 PR RVO:67985556 http://hdl.handle.net/11104/0300869 S 2019 2019 České Budějovoce University of South Bohemia in České Budějovice 9788073947606 SCOPUS PUBMED WOS cav_un_epca*0462920 Proceedings of the 34th International Conference Mathematical Methods in Economics MME 2016 978-80-7494-296-9 14 19 Liberec Technical University 2016 340 Kocourek A. 340 Vavroušek M.