Supported by the National Natural Science Foundation of China(71571144,71401134,71171164,11701406); Supported by the International Cooperation and Exchanges in Science and Technology Program of Shaanxi Province(2016KW-033)
In this paper, we construct a Bayesian framework combining Type-Ⅰ progressively hybrid censoring scheme and competing risks which are independently distributed as exponentiated Weibull distribution with one scale par...
Supported by the National Natural Science Foundation of China(71401134, 71571144, 71171164); Supported by the Natural Science Basic Research Program of Shaanxi Province(2015JM1003); Sup- ported by the Program of International Cooperation and Exchanges in Science and Technology Funded of Shaanxi Province(2016KW-033); Supported by the Scholarship Program of Shanxi Province(2016-015)
Statistical inference is developed for the analysis of generalized type-Ⅱ hybrid censoring data under exponential competing risks model. In order to solve the problem that approximate methods make unsatisfactory perf...
supported by the National Natural Science Foundation of China(71171164)
In a reliability comparative test, the joint censoring model is usually adopted to evaluate the performances of units with the same facility. However, most researchers ignore the pos- sibility that there is more than ...