On Optimal Progressive Censoring Schemes from Models with U-Shaped Hazard Rate: A Comparison between Conventional and Fuzzy Priors

Table 9

BEs and PRs (in parenthesis) using real dataset under PLF using conventional priors.

Censoring schemes	Estimation method
	QuM		LinA		TKA		GiS
	CS1	0.6701 (0.0440)	2.8863 (0.9226)	0.6781 (0.0402)	2.9836 (0.8777)	0.6649 (0.0304)	2.8763 (0.6973)	0.6819 (0.0352)	2.9021 (0.8128)
CS2	0.6549 (0.0487)	2.8579 (0.9858)	0.6627 (0.0445)	2.9542 (0.9379)	0.6498 (0.0337)	2.8479 (0.7451)	0.6664 (0.0390)	2.8735 (0.8684)
CS3	0.6114 (0.0430)	2.9261 (0.9633)	0.6187 (0.0393)	3.0247 (0.9165)	0.6066 (0.0297)	2.9159 (0.7281)	0.6221 (0.0344)	2.9421 (0.8486)
CS4	0.6192 (0.0524)	2.8198 (1.0266)	0.6266 (0.0478)	2.9148 (0.9767)	0.6144 (0.0362)	2.8100 (0.7759)	0.6300 (0.0419)	2.8352 (0.9044)
CS5	0.7139 (0.0363)	2.9999 (0.7649)	0.7225 (0.0331)	3.1010 (0.7277)	0.7084 (0.0251)	2.9895 (0.5781)	0.7265 (0.0290)	3.0163 (0.6738)
CS6	0.6977 (0.0402)	2.9704 (0.8173)	0.7060 (0.0367)	3.0705 (0.7776)	0.6923 (0.0278)	2.9600 (0.6177)	0.7099 (0.0321)	2.9866 (0.7200)
CS7	0.6514 (0.0355)	3.0413 (0.7986)	0.6591 (0.0324)	3.1438 (0.7598)	0.6463 (0.0245)	3.0307 (0.6036)	0.6628 (0.0283)	3.0579 (0.7035)
CS8	0.6597 (0.0432)	2.9308 (0.8511)	0.6675 (0.0394)	3.0295 (0.80970	0.6546 (0.0298)	2.9206 (0.6433)	0.6712 (0.0345)	2.9468 (0.7498)