Regression Models for Repairable Systems
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605519897 | ||
| 003 | CHVBK | ||
| 005 | 20210128100732.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20151201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11009-014-9419-2 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11009-014-9419-2 | ||
| 100 | 1 | |a Novák |D Petr |u Faculty of Mathematics and Physics, Department of Probability and Mathematical Statistics, Charles University in Prague, Sokolovská 83, 186 75, Praha 8, Czech Republic |4 aut | |
| 245 | 1 | 0 | |a Regression Models for Repairable Systems |h [Elektronische Daten] |c [Petr Novák] |
| 520 | 3 | |a When operating a device which is a subject to degradation, we want to estimate the distribution of the time to failure for maintenance optimization. Our aim is to describe the 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Reliability analysis |2 nationallicence | |
| 690 | 7 | |a Repair models |2 nationallicence | |
| 690 | 7 | |a Regression |2 nationallicence | |
| 773 | 0 | |t Methodology and Computing in Applied Probability |d Springer US; http://www.springer-ny.com |g 17/4(2015-12-01), 963-972 |x 1387-5841 |q 17:4<963 |1 2015 |2 17 |o 11009 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11009-014-9419-2 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11009-014-9419-2 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 100 |E 1- |a Novák |D Petr |u Faculty of Mathematics and Physics, Department of Probability and Mathematical Statistics, Charles University in Prague, Sokolovská 83, 186 75, Praha 8, Czech Republic |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Methodology and Computing in Applied Probability |d Springer US; http://www.springer-ny.com |g 17/4(2015-12-01), 963-972 |x 1387-5841 |q 17:4<963 |1 2015 |2 17 |o 11009 | ||