@misc{10481/98972,
year = {2019},
url = {https://hdl.handle.net/10481/98972},
abstract = {The objective of this paper is to find out possible patterns of failure occurrences
in a repairable system. We develop a graphical exploratory tool and perform
visual inference considering non-parametric local linear kernel estimators for
the rate of occurrence of failures (ROCOF) and its first derivative. The shape
characteristics of the ROCOF function are distinguished from those which are
merely an artefact of the sampling variability of the data through the construction
of confidence intervals for the first derivative. The proposal is illustrated
with several real data sets, and its performance is evaluated through an extensive
simulation study.},
organization = {Departamento de Estadística e Investigación Operativa de la Universidad de Granada},
publisher = {WILEY},
keywords = {Bootstrap},
keywords = {Kernel smoothing},
keywords = {NHPP rate},
keywords = {ROCOF},
keywords = {SiZer},
title = {Data visualization for reliability analysis of repairable systems},
doi = {https://doi.org/10.1002/qre.2383},
author = {Gámiz Pérez, María Luz and López Montoya, Antonio Jesús and Martínez Miranda, María Dolores and Raya- Miranda, R.},
}