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Title: Decision theoretic sampling plan for competing risks model Authors:  Debasis Kundu - Indian Institute of Technology Kanpur (India) [presenting]
Abstract: An extensive amount of work has been done on the decision theoretic sampling plan based on censored lifetime data when the failure time is observed but no cause of failure is observed. We mainly discuss the decision theoretic sampling plans (DSP) for Type-II censored data when along with the failure time, the cause of failure is also observed. It is assumed that a lot is accepted provided the expected failure time for each cause is greater than a certain threshold. We define a suitable loss function and it is used to obtain the Bayes risk of the DSP. A finite algorithm is used to obtain the optimum DSP by minimizing the Bayes risk.