作者: L.A. Walls , A. Bendell
DOI: 10.1016/0143-8174(87)90030-8
关键词:
摘要: The potential application of statistical time series methods for reliability analysis was first advocated by Nozer Singpurwalla in 1978. Apart from subsequent work and his co-workers, no other studies appear to have been published. Yet the established techniques provide an exciting promising approach modelling empirical dependencies between successive times failures. In this paper we consider widely used Box-Jenkins explore model structures present diverse data. Other techniques, including Bayesian forecasting multivariate methods, are discussed. We conclude that, whilst promising, existing approaches require further specialisation order better characteristics problems.