Research Article

Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random

Table 3

Performance of the point estimators and 95% CIs for response mean in simulation 2, .

ModelOELMEL

M1
n = 20Bias0.08080.07350.05690.08080.07350.0569−0.00570.2179
CP0.88300.88100.87300.90600.91600.90400.86000.8460
AL2.23072.23622.22532.07562.14832.09392.08022.5970
SD2.81282.15892.44512.03761.56671.77340.71450.7947
n = 40Bias0.08020.05930.04650.08020.05930.04650.00050.2186
CP0.92500.92200.92000.93600.93900.93400.87200.8380
AL1.60841.60411.59731.37851.39561.37731.39591.7330
SD2.87622.29722.51722.05851.64421.80170.58580.6519
M2
n = 20Bias0.12080.10800.08090.12080.10800.0809−0.00570.3595
CP0.89600.88100.88600.92100.91200.91400.86000.7970
AL2.26992.26692.26382.11302.15982.12652.08022.4904
SD2.78702.27312.49812.01901.64881.81120.71450.7792
n = 40Bias0.09040.06130.03340.09030.06130.03340.00050.3539
CP0.93600.93500.92900.94600.94600.94200.87200.7700
AL1.63111.62681.62211.39901.41021.39781.39591.6898
SD2.85352.39502.56212.04231.71421.83380.58580.6434
M3
n = 20Bias0.11510.10580.08270.11510.10580.0827−0.00570.3179
CP0.88800.88800.88100.90800.91100.90900.86000.8320
AL2.23042.23182.22332.07552.13592.08972.08022.5149
SD2.77512.18712.44852.01041.58671.77540.71450.7820
n = 40Bias0.10630.07770.05740.10630.07770.05740.00050.3119
CP0.91700.92000.92000.93400.93500.93500.87200.7810
AL1.60661.60151.59591.37741.39131.37561.39591.6988
SD2.84702.31502.51812.03761.65701.80230.58580.6447

M1
n = 20Bias0.11540.10440.08410.11540.10440.08410.00540.3065
CP0.87100.87900.87000.89900.90700.91100.86700.8330
AL2.55722.54942.54342.38282.44502.39432.31662.9036
SD3.21472.48592.80352.33031.80762.03660.75360.8401
n = 40Bias0.08920.06460.04810.08920.06460.0481−0.00310.2807
CP0.91400.90800.91200.93300.92500.92500.85300.8190
AL1.83631.83341.82591.57281.59481.57421.58252.0088
SD3.31332.62782.87882.37161.88112.06060.62380.7026
M2
n = 20Bias0.17130.15920.12470.17130.15920.12470.00540.4961
CP0.89800.89900.90200.92000.92300.93000.86700.7940
AL2.57562.57362.57062.39662.44662.41432.31662.7918
SD3.16572.61162.83772.29431.89532.05840.75360.8257
n = 40Bias0.09690.06860.03300.09690.06860.0330−0.00310.4320
CP0.92700.92400.93000.93900.94500.94300.85300.7840
AL1.86301.85991.85461.59741.61141.59781.58251.9375
SD3.27852.75022.93052.34671.96862.09760.62380.6895
M3
n = 20Bias0.16170.14410.11800.16170.14410.11800.00540.4538
CP0.87700.87300.87100.90500.90200.90500.86700.8020
AL2.56282.55782.55362.38682.44662.40152.31662.8692
SD3.19982.51642.81252.31961.82842.04160.75360.8361
n = 40Bias0.13570.09980.07310.13570.09980.0731−0.00310.4151
CP0.91300.91100.91400.92100.92900.93100.85300.7560
AL1.83261.82681.82181.57091.58591.57051.58251.9471
SD3.26522.65532.87392.33721.90072.05710.62380.6908

M1
n = 20Bias0.15350.14110.11490.15350.14110.11490.00890.5182
CP0.87100.87100.86900.90400.89600.90300.86000.8020
AL3.21163.19633.19492.99263.05613.00662.95223.6533
SD4.06803.15483.52972.95272.29922.56860.85110.9427
n = 40Bias0.14130.10510.07870.14130.10510.0787−0.00120.4787
CP0.90100.90700.90600.91600.92500.92100.85400.7730
AL2.30342.29672.28961.97291.99551.97402.00392.5153
SD4.20033.32003.61193.00742.37782.58650.70180.7849
M2
n = 20Bias0.20560.19010.14810.20560.19010.14810.00890.7143
CP0.89500.89500.89900.92200.92000.92800.86000.7810
AL3.26693.25753.25753.03653.08993.05462.95223.5512
SD4.01943.34943.60822.91772.43592.62160.85110.9314
n = 40Bias0.12600.09650.04690.12600.09650.0469−0.00120.6236
CP0.93300.93000.93600.94300.94000.94200.85400.7430
AL2.36122.35692.35152.02442.03982.02582.00392.4226
SD4.17233.51643.71872.98722.51792.66250.70180.7707
M3
n = 20Bias0.31240.28020.22890.31240.28020.22890.01511.2031
CP0.87300.85100.87500.90500.88300.90600.86900.7220
AL4.14184.09184.11093.86003.87673.85643.86034.6516
SD5.21214.15754.57683.79323.03983.33800.97351.0647
n = 40Bias0.19270.13760.09250.19270.13760.0925−0.00120.6938
CP0.91200.90700.91700.92200.92300.92900.85400.6960
AL2.31482.30152.29771.98481.99651.98082.00392.4544
SD4.17193.36483.62802.98722.40982.59790.70180.7748

M1
n = 20Bias0.22080.21080.17870.22080.21080.17870.01510.8554
CP0.86300.85100.86300.89600.89400.90300.86900.7790
AL4.14784.11974.12333.86813.93673.87693.86034.7258
SD5.26784.10584.58753.83293.00623.35010.97351.0731
n = 40Bias0.20780.16580.12020.20780.16580.12020.00270.8162
CP0.90000.90600.91300.92000.91900.92500.85600.7350
AL2.98512.97302.96722.55762.58212.55932.60543.2279
SD5.48544.31724.68553.93033.09543.35810.80000.8886
M2
n = 20Bias0.24860.23890.18060.24860.23890.18060.01511.0812
CP0.89700.88100.89700.92400.90900.92200.86900.7530
AL4.24644.21054.21973.95233.97853.96073.86034.5830
SD5.27694.41564.71843.84043.22283.43850.97351.0572
n = 40Bias0.16110.14310.07090.16110.14310.07090.00270.9679
CP0.93000.92800.93300.94700.93600.95000.85600.6910
AL3.07433.06443.06062.63222.65012.63642.60543.0973
SD5.48674.61034.84603.93073.30393.47190.80000.8721
M3
n = 20Bias0.31240.28020.22890.31240.28020.22890.01511.2031
CP0.87300.85100.87500.90500.88300.90600.86900.7220
AL4.14184.09184.11093.86003.87673.85643.86034.6516
SD5.21214.15754.57683.79323.03983.33800.97351.0647
n = 40Bias0.29100.21930.14720.29100.21930.14720.00271.1758
CP0.90400.90000.91100.92000.92200.93700.85600.6100
AL3.00012.97232.97382.57392.57682.56442.60543.1358
SD5.45744.36974.69883.91113.13283.36710.80000.8764