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dc.contributor.authorGámiz Pérez, María Luz 
dc.contributor.authorNozal Cañadas, Rafael Adolfo
dc.contributor.authorRaya Miranda, Rocío 
dc.date.accessioned2026-02-09T08:17:30Z
dc.date.available2026-02-09T08:17:30Z
dc.date.issued2020-05-20
dc.identifier.citationGámiz Pérez, María Luz et al. TTT-SiZer: A graphic tool for aging trends recognition. Reliability Engineering and System Safety 202 (2020) 107010. https://doi.org/10.1016/j.ress.2020.107010es_ES
dc.identifier.urihttps://hdl.handle.net/10481/110744
dc.descriptionThis work has been partially supported by the Spanish Ministry of Economy and Competitiveness through grant number RTI2018-099723-B-I00. The authors thank Centro de Servicios de Informática y Redes de Comunicaciones (CSIRC), University of Granada, for providing the computing time.es_ES
dc.description.abstractA new graphic tool is presented to test aging trends based on lifetime data. The graphical test is developed by means of scale and space inference about the Total-Time-on-Test transform and its first and second derivatives. The graphic tool TTT-SiZer is defined considering nonparametric local polynomial kernel estimators and constructing the corresponding (simultaneous as well as punctual) confidence intervals around three different curves. The finite sample properties of the method are evaluated by a simulation study and the comparison with other non-graphical tests shows that the graphical test helps localize discrepancies of empirical data concerning a given hypothesized aging property, thus allowing to solve the problem locally.es_ES
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness RTI2018-099723-B-I00es_ES
dc.description.sponsorshipUniversity of Granadaes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.subjectTotal-time-on-test transformes_ES
dc.subjectKernel smoothinges_ES
dc.subjectOrder statistices_ES
dc.titleTTT-SiZer: A graphic tool for aging trends recognitiones_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.ress.2020.107010
dc.type.hasVersionVoRes_ES


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