title: Statistical analysis of linear degradation and failure time data with multiple failure modes.
abstract: The paper considers linear degradation and failure time models with multiple failure modes. Dependence of traumatic failure intensities on the degradation level are included into the models. Estimators of traumatic event cumulative intensities, and of various reliability characteristics are proposed. Prediction of residual reliability characteristics given a degradation value at a given moment is discussed. Non-parametric, semiparametric and parametric estimation methods are given. Theorems on simultaneous asymptotic distribution of random functions characterising degradation and intensities of traumatic events are proposed. Asymptotic properties of unconditional and residual reliability characteristics estimators are given. Real tire wear and failure time data are analysed.
authors.affiliation: Department of Mathematical Statistics, University of Vilnius, Vilnius, Lithuania. vilius@sm.u-bordeaux2.fr
authors.forename: Vilijandas
authors.initials: V
authors.lastname: Bagdonavicius
authors.forename: Algimantas
authors.initials: A
authors.lastname: Bikelis
authors.forename: Vytautas
authors.initials: V
authors.lastname: Kazakevicius
mesh_terms: D001699:Biometry / Q000379:methods; D019544:Equipment Failure Analysis / Q000379:methods / Q000706:statistics & numerical data*; D015233:Models, Statistical; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods* / Q000706:statistics & numerical data; D018709:Statistics, Nonparametric; D013995:Time