0450902 20240103211235.820151201235959.9 000365182300008 84947492276 10.1007/s11009-014-9419-2 10 s. P cav_un_epca*02971991387-5841174 (2015)963-972Springer Reliability analysis Repair models Regression cav_un_auth*0265032 Novák Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B 100 Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/SI/novak-0450902.pdf The objective is to describe dependency of the failure time distribution on applicable regression variables. Models commonly used in survival analysis, such as the Cox model or the Accelerated failure time model, need to be adjusted to accommodate repairs and maintenance. For instance, we may use the number of repairs or maintenance actions or their cost as time-varying covariates. In this work we describe such models and demonstrate their application on real data. 2016 BB 1 RVO:67985556 http://hdl.handle.net/11104/0252668 cav_un_auth*0296304 MFF KU Matematicko-fyzikální fakulta KU CZ S STATISTICS&PROBABILITY 0.733 0.117 5.7 0.0022 0.599 356 0.528 Q2 0.772 60 Q3 36.871 44.3 Q3 Q3 44.309 2015 84947492276 SCOPUS 000365182300008 WOS cav_un_epca*0297199 Methodology and Computing in Applied Probability 1387-5841 1573-7713 Roč. 17 č. 4 2015 963 972 Springer