Mathematical Problems in Engineering / 2018 / Article / Tab 3

Research Article

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

Table 3

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

RML approach
biasMSEbiasMSECorrect (%)

1089-0.17960.1372-0.34300.21400.6430
78-0.15800.1001-0.28320.15090.6263
79-0.24590.2408-0.37320.30230.6263
67-0.14660.0772-0.25600.11700.5959
68-0.33160.1836-0.22260.23130.5959
69-0.31500.3745-0.38670.40980.5959
56-0.13990.0774-0.24480.11420.5908
57-0.22060.1701-0.31640.20980.5908
58-0.31440.3048-0.37090.33030.5908
59-0.41890.5512-0.46950.57940.5908

201618-0.13010.0875-0.25420.12750.7195
1416-0.10870.0556-0.20930.08310.6955
1418-0.17410.1534-0.22810.17020.6955
1214-0.09440.0443-0.18500.06740.6657
1216-0.15970.1112-0.20080.12290.6657
1218-0.23820.2419-0.27640.25610.6657
1012-0.09480.0404-0.17870.06060.6477
1014-0.14890.0949-0.18490.10460.6477
1016-0.21640.1806-0.24320.19010.6477
1018-0.31040.3566-0.34190.36990.6477

3024270.00920.0718-0.12240.06040.9508
2124-0.02350.0472-0.11300.04020.9345
2127-0.04930.0950-0.11350.08880.9345
1821-0.07000.0348-0.11720.03510.8478
1824-0.11140.0752-0.13570.07250.8478
1827-0.15310.1561-0.17880.15810.8478
1518-0.09200.0295-0.12340.03440.7104
1521-0.13640.0676-0.14510.07000.7104
1524-0.19850.1293-0.20610.13340.7104
1527-0.27890.2534-0.29450.26210.7104

4032360.05330.0603-0.07080.04130.9717
28320.04760.0408-0.05600.02290.9754
28360.05140.0651-0.03240.05070.9754
24280.04450.0334-0.04840.01750.9777
24320.04970.0464-0.02180.03110.9777
24360.05930.0691-0.00830.05720.9777
20240.03520.0308-0.04690.01540.9817
20280.03310.0399-0.02280.02630.9817
20320.04340.0508-0.00690.04070.9817
20360.04670.0768-0.00420.06830.9817

5040450.05890.0488-0.04720.03130.9820
35400.05050.0341-0.04030.01770.9847
35450.05950.0542-0.01780.04110.9847
30350.04730.0286-0.03290.01310.9876
30400.05390.0366-0.00930.02410.9876
30450.06240.05590.00420.04630.9876
25300.03810.0257-0.03190.01110.9878
25350.04660.0310-0.00760.01940.9878
25400.05270.03890.00600.03000.9878
25450.06600.05770.01910.04970.9878

6048540.05860.0435-0.03680.02700.9913
42480.05220.0300-0.02840.01440.9919
42540.06110.0453-0.00640.03450.9919
36420.04770.0243-0.02450.01070.9933
36480.05430.0322-0.00380.02100.9933
36540.06440.04870.01260.04000.9933
30360.04010.0212-0.02290.00920.9928
30420.04330.0257-0.00370.01630.9928
30480.05550.03330.01480.02580.9928
30540.06490.04920.02150.04290.9928