Non-parametric estimation from simultaneous renewal-failure-degradation data with competing risk

Vilijandas Bagdonavicius (1) , Algirdas Bikelis (2) , Vytautas Kazakevicius (3) , Mikhail Nikulin (4)

1 Departement of Statistics, Vilnius University
2 Department of Statistics [Vilnius]
3 Department of Statistics, Vilnius University
4 IMB - Institut de Mathématiques de Bordeaux

A new joint model for linear degradation and competing failure data with partial renewals is proposed. Non-parametric statistical estimation procedures for failure intensities and failure probabilities as functions of degradation level are given.

Domaines: Statistiques [math.ST]; Théorie [stat.TH]; Applications [stat.AP]; Santé publique et épidémiologie

Vilijandas Bagdonavicius, Algirdas Bikelis, Vytautas Kazakevicius, Mikhail Nikulin. Non-parametric estimation from simultaneous renewal-failure-degradation data with competing risk. Comptes rendus de l'Académie des sciences. Série I, Mathématique, 2006, 342, pp.63-68. ⟨hal-00224647⟩