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Zapiski Nauchnykh Seminarov POMI, 2009, Volume 363, Pages 7–25 (Mi znsl3141)  
Estimation of reliability using failure-degradation data with explanatory variables

V. Bagdonavičiusa, A. Bikelisa, V. М. Kazakevičiusa, M. S. Nikulinb

a Vilnius University, Lithuania
b IMB, University Victor Segalen, Bordeaux, France
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Abstract: Semiparametric estimation of degradation and failure process characteristics using degradation and multi-mode failure time data with covariates is considered supposing that the component of hazard rate related with observable degradation is unknown function of degradation and may depend on covariates. Bibl. – 17 titles.
Received: 09.12.2008
English version:
Journal of Mathematical Sciences (New York), 2010, Volume 163, Issue 3, Pages 202–212
DOI: https://doi.org/10.1007/s10958-009-9668-8
UDC: 519
Language: English
Citation: V. Bagdonavičius, A. Bikelis, V. М. Kazakevičius, M. S. Nikulin, “Estimation of reliability using failure-degradation data with explanatory variables”, Probability and statistics. Part 14–1, Zap. Nauchn. Sem. POMI, 363, POMI, St. Petersburg, 2009, 7–25; J. Math. Sci. (N. Y.), 163:3 (2010), 202–212
Citation in format AMSBIB
\Bibitem{BagBikKaz09}
\by V.~Bagdonavi{\v{c}}ius, A.~Bikelis, V.~М.~Kazakevi{\v{c}}ius, M.~S.~Nikulin
\paper Estimation of reliability using failure-degradation data with explanatory variables
\inbook Probability and statistics. Part~14--1
\serial Zap. Nauchn. Sem. POMI
\yr 2009
\vol 363
\pages 7--25
\publ POMI
\publaddr St.~Petersburg
\mathnet{http://mi.mathnet.ru/znsl3141}
\transl
\jour J. Math. Sci. (N. Y.)
\yr 2010
\vol 163
\issue 3
\pages 202--212
\crossref{https://doi.org/10.1007/s10958-009-9668-8}
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