Assessing the Lifetime Performance Index with Digital Inferences of Power Hazard Function Distribution Using Progressive Type-II Censoring Scheme

Table 3

MSEs and CPs of the MLEs and Bayes estimates for .

N	m	Sc.	ML	Bayes	Bayes	ML	Bayes	Bayes
			Mean squared errors (MSEs)			Coverage probabilities (CPs)
				a = 1, b = 2	a = 2, b = 3		a = 1, b = 2	a = 2, b = 3
25	15	I	0.000 088 9	0.000 080 4	0.000 072 9	0.947	0.949	0.956
		II	0.000 091 9	0.000 084 9	0.000 075 0	0.939	0.948	0.953
		III	0.000 097 2	0.000 089 7	0.000 081 1	0.945		0.948
30	20	I	0.000 083 7	0.000 077 4	0.000 068 7	0.941	0.943	0.939
		II	0.000 086 6	0.000 079 4	0.000 071 3	0.952	0.948	0.947
		III	0.000 092 2	0.000 084 2	0.000 079 2	0.954		0.955
30	25	I	0.000 076 7	0.000 069 9	0.000 061 8	0.962	0.954	0.963
		II	0.000 082 3	0.000 074 2	0.000 066 6	0.941	0.951	0.947
		III	0.000 089 1	0.000 078 5	0.000 072 9	0.939		0.951
50	30	I	0.000 071 6	0.000 062 6	0.000 059 3	0.944	0.959	0.945
		II	0.000 075 7	0.000 068 4	0.000 063 1	0.940	0.936	0.942
		III	0.000 081 4	0.000 073 2	0.000 067 5	0.945		0.939
50	40	I	0.000 067 3	0.000 058 4	0.000 055 8	0.960	0.952	0.962
		II	0.000 071 5	0.000 062 6	0.000 058 5	0.954	0.958	0.957
		III	0.000 076 8	0.000 066 9	0.000 062 8	0.938		0.948
70	50	I	0.000 059 9	0.000 049 8	0.000 046 7	0.951	0.949	0.947
		II	0.000 063 3	0.000 054 3	0.000 051 6	0.944	0.945	0.952
		III	0.000 067 7	0.000 058 5	0.000 055 9	0.938		0.949
90	60	I	0.000 038 4	0.000 029 9	0.000 025 8	0.955	0.961	0.954
		II	0.000 043 6	0.000 036 3	0.000 033 4	0.948	0.939	0.945
		III	0.000 047 1	0.000 038 2	0.000 035 1	0.954		0.940
90	70	I	0.000 022 8	0.000 019 6	0.000 014 9	0.956	0.953	0.958
		II	0.000 028 7	0.000 023 4	0.000 018 5	0.945	0.943	0.951
		III	0.000 034 1	0.000 028 5	0.000 023 2	0.942		0.939