A frailty model for failure data is proposed to estimate the total number of faults in a system. The Littlewood model and Jelinski-Moranda are the two particular cases of the proposed formulation. The two-stage estimating procedure, a conditional likelihood and a Horvitz-Thompson estimator, is found to be efficient. Simulation studies are given to assess the performance of the estimator. Two examples are also presented.
|出版物ステータス||Published - 2002 10 1|
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty