Relationships For Moments Of Progressively Type-II Right Censored Order Statistics From Bass Diffusion Model And Associated Inference

In this paper we discuss Bass diffusion model, which is widely used in technology forecasting. Some recurrence relations between the single and product moments of progressively Type-II right censored order statistics from Bass diffusion model have been established. These relations would enable one to compute all the single and product moments of progressively Type-II right censored order statistics for all sample sizes n and all censoring schemes (R-1, R2, ..., Rm), m <= n, in a simple recursive manner. For the estimation of the parameters and the reliability characteristic, maximum likelihood approach is used. Monte Carlo simulation study is conducted to compare the performance of the estimates for different censoring schemes.