| URI | http://purl.tuc.gr/dl/dias/424ABCD7-CDA0-4151-9D26-10E2C443818F | - | 
| Αναγνωριστικό | https://doi.org/10.1007/s11009-019-09699-4 | - | 
| Αναγνωριστικό | https://link.springer.com/article/10.1007/s11009-019-09699-4 | - | 
| Γλώσσα | en | - | 
| Μέγεθος | 11 pages | en | 
| Μέγεθος | 1,3 megabytes | en | 
| Τίτλος | The first exit time stochastic theory applied to estimate the life-time of a complicated system | en | 
| Δημιουργός | Skiadas Christos | en | 
| Δημιουργός | Σκιαδας Χρηστος | el | 
| Δημιουργός | Skiadas, Charilaos | en | 
| Εκδότης | Springer | en | 
| Περίληψη | We develop a first exit time methodology to model the life time process of a complicated system. We assume that the functionality level of a complicated system follows a stochastic process during time and the end of the functionality of the system comes when the functionality function reaches a zero level. After solving several technical details including the Fokker-Planck equation for the appropriate boundary conditions we estimate the transition probability density function and then the first exit time probability density of the functionality of the system reaching a barrier during time. The formula we arrive is essential for complicated system forms. A simpler case has the form called as Inverse Gaussian and was first proposed independently by Schrödinger and Smoluchowsky in the same journal issue (1915) to express the probability density of a simple first exit time process hitting a linear barrier. Applications to the health state of biological systems (the human population and the Mediterranean flies) and to the functionality life time of cars are done. | en | 
| Τύπος | Peer-Reviewed Journal Publication | en | 
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el | 
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en | 
| Ημερομηνία | 2021-04-15 | - | 
| Ημερομηνία Δημοσίευσης | 2020 | - | 
| Θεματική Κατηγορία | Hitting time | en | 
| Θεματική Κατηγορία | First exit time | en | 
| Θεματική Κατηγορία | Inverse Gaussian | en | 
| Θεματική Κατηγορία | Extended Inverse Gaussian | en | 
| Θεματική Κατηγορία | First order approximation | en | 
| Θεματική Κατηγορία | Second order approximation | en | 
| Θεματική Κατηγορία | Fractional derivatives | en | 
| Θεματική Κατηγορία | Complicated systems | en | 
| Θεματική Κατηγορία | Human populations | en | 
| Θεματική Κατηγορία | Health state | en | 
| Θεματική Κατηγορία | Health state model | en | 
| Θεματική Κατηγορία | Death probability density | en | 
| Θεματική Κατηγορία | Car functional state | en | 
| Βιβλιογραφική Αναφορά | C. H. Skiadas and C. Skiadas, “The first exit time stochastic theory applied to estimate the life-time of a complicated system”, Methodol. Comput. Appl. Probab., vol. 22, no. 4, pp. 1601–1611, Dec. 2020. doi: 10.1007/s11009-019-09699-4 | en |