Mathematical Problems in Engineering / 2018 / Article / Tab 7

Research Article

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

Table 7

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

approach
biasMSEbiasMSEcorrect (%)

1089-0.00130.0904-0.29690.15890.4340
78-0.02220.0817-0.26920.13760.3635
790.03920.2032-0.18200.18690.3635
67-0.04180.0830-0.27020.13640.3208
680.00590.1959-0.20140.19230.3208
690.08790.3923-0.05790.31990.3208
56-0.05390.0936-0.27800.15160.3094
57-0.03120.2201-0.22530.21820.3094
580.01990.3925-0.10530.33730.3094
590.10070.6842-0.01080.58370.3094

2016180.02210.0565-0.15210.06870.6408
14160.00440.0437-0.15150.05970.5695
14180.05030.1109-0.04170.09910.5695
12140.00110.0405-0.15270.05690.5011
12160.03540.0953-0.04740.08580.5011
12180.11100.20440.03960.17800.5011
1012-0.00170.0460-0.15910.06280.4051
10140.04030.1047-0.04030.09430.4051
10160.10410.20170.04310.17910.4051
10180.21560.39250.15150.34470.4051

3024270.13460.0585-0.03640.02980.8704
21240.11910.0495-0.04150.02300.8433
21270.14710.07430.03050.04630.8433
18210.10520.0451-0.04910.02160.8042
18240.11680.05900.00690.03680.8042
18270.14240.08800.05480.06580.8042
15180.07030.0455-0.06780.02670.7363
15210.06760.0589-0.02490.04260.7363
15240.06890.0790-0.00240.06490.7363
15270.09930.12330.03740.10670.7363

4032360.11300.0465-0.01960.02340.9068
28320.10610.0375-0.02210.01680.8795
28360.12580.05800.03370.03710.8795
24280.09850.0351-0.02510.01470.8582
24320.11300.04460.02230.02720.8582
24360.14020.06940.06920.05070.8582
20240.09450.0358-0.02850.01590.8438
20280.09940.04030.01120.02490.8438
20320.11910.05170.05190.03690.8438
20360.14130.07590.08520.06000.8438

5040450.09960.0382-0.00820.01940.9309
35400.09190.0304-0.01370.01310.9069
35450.10940.04770.03180.03130.9069
30350.08540.0287-0.01760.01180.8834
30400.10100.03680.02640.02230.8834
30450.12380.05710.06350.04220.8834
25300.08140.0283-0.01980.01250.8760
25350.09250.03390.01990.02020.8760
25400.10220.04230.04650.03080.8760
25450.13440.06430.08700.05170.8760

6048540.08740.0319-0.00540.01640.9491
42480.08040.0264-0.00990.01140.9272
42540.10030.04080.03380.02670.9272
36420.07760.0242-0.01020.01000.9116
36480.09120.03040.02660.01890.9116
36540.11100.04720.06010.03540.9116
30360.07250.0239-0.01360.01030.8991
30420.08020.02850.01850.01720.8991
30480.09670.03580.04940.02620.8991
30540.11620.04200.07570.04300.8991