Mathematical Problems in Engineering / 2018 / Article / Tab 6

Research Article

Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data

Table 6

The corresponding bias and MSEs for different settings of RML approach when the true distribution is SEV.

RML approach
biasMSEbiasMSEcorrect(%)

1089-0.04610.0865-0.29690.15890.5938
78-0.06790.0798-0.26920.13760.5587
79-0.05200.1779-0.22580.19770.5587
67-0.08970.0814-0.27020.13640.5445
68-0.08660.1746-0.24540.20470.5445
69-0.06820.3140-0.17160.30480.5445
56-0.10100.0935-0.27800.15160.5242
57-0.12340.2004-0.27150.23140.5242
58-0.12280.3226-0.21190.32140.5242
59-0.10700.5253-0.18350.50580.5242

201618-0.00890.0544-0.16260.07130.7451
1416-0.02220.0422-0.15920.06180.7003
1418-0.00120.1000-0.07640.09880.7003
1214-0.02720.0398-0.16030.05920.6548
1216-0.01830.0883-0.08460.08820.6548
12180.02260.1753-0.03320.16700.6548
1012-0.03710.0447-0.16920.06580.6058
1014-0.02770.0946-0.08950.09600.6058
10160.00280.1753-0.04150.17070.6058
10180.05120.30560.00520.29090.6058

3024270.11430.0639-0.04540.02990.9188
21240.09910.0541-0.04950.02350.9066
21270.11710.07170.01210.04230.9066
18210.07760.0471-0.05800.02230.9046
18240.08120.0569-0.01100.03510.9046
18270.09780.07420.02410.05620.9046
15180.03600.0465-0.07830.02810.8915
15210.02220.0569-0.04530.04230.8915
15240.01810.0730-0.03420.06260.8915
15270.02420.1017-0.02000.09330.8915

4032360.09300.0472-0.02820.02260.9441
28320.08690.0402-0.02920.01670.9393
28360.09940.05420.01740.03250.9393
24280.08090.0391-0.03120.01470.9346
24320.08960.04540.00960.02500.9346
24360.11090.05990.04780.04130.9346
20240.07600.0406-0.03440.01610.9227
20280.08040.04230.00210.02390.9227
20320.09280.04850.03470.03220.9227
20360.11080.06310.06050.04760.9227

5040450.08150.0378-0.01570.01850.9673
35400.07350.0317-0.02010.01280.9593
35450.08530.04080.01720.02620.9593
30350.06790.0311-0.02300.01170.9557
30400.07710.03560.01390.02020.9557
30450.09290.04650.04150.03320.9557
25300.06290.0317-0.02480.01260.9475
25350.07070.03430.01000.01900.9475
25400.07890.03890.03150.02690.9475
25450.09880.05060.05930.03910.9475

6048540.07180.0302-0.01180.01540.9808
42480.06490.0266-0.01520.01090.9731
42540.07740.03530.02010.02260.9731
36420.06180.0256-0.01490.00980.9707
36480.06950.02850.01550.01690.9707
36540.08450.03840.04110.02810.9707
30360.05420.0256-0.01830.01020.9633
30420.06060.02790.00990.01600.9633
30480.07270.03070.03440.02210.9633
30540.08550.04200.05180.03290.9633