Analysis reveals cost-effective Type II hybrid censoring schemes with random sample sizes, aiming for optimal design.
Hybrid censoring is a combination of Type I and Type II censoring schemes, which is divided into two types, Type I and Type II hybrid censoring schemes. One practical problem in the discussion of censoring is choosing the best censoring scheme. Towards this end, different criteria can be considered, each of them may lead to a different result. One of the most important criteria is the cost of the experiment. In this article, considering a cost function as an optimization criterion in Type II hybrid censoring, the optimal censoring scheme is determined. Here, the sample size is considered as a fixed value as well as a random variable from the power series distribution, and the optimal scheme of censoring is determined so that the cost function does not exceed a pre-determined value. Numerical computation as well as a simulation study are presented for illustrating the results.
No takes yet. Share an insight, caveat, or question.
Basiri et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: