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Regression Models for Repairable Systems
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SYSNO ASEP 0450902 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Regression Models for Repairable Systems Author(s) Novák, Petr (UTIA-B) Number of authors 1 Source Title Methodology and Computing in Applied Probability. - : Springer - ISSN 1387-5841
Roč. 17, č. 4 (2015), s. 963-972Number of pages 10 s. Publication form Print - P Language eng - English Country US - United States Keywords Reliability analysis ; Repair models ; Regression Subject RIV BB - Applied Statistics, Operational Research Institutional support UTIA-B - RVO:67985556 UT WOS 000365182300008 EID SCOPUS 84947492276 DOI 10.1007/s11009-014-9419-2 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2016
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