Research Article

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

Table 4

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

ModelOELMEL

M1
n = 20Bias0.09800.09550.08040.09800.09550.0804−0.00530.2177
CP0.89000.88100.88400.91000.91200.91500.85300.8350
AL2.35742.36342.35402.19892.27972.21962.15192.6703
SD2.94162.23822.57612.13151.62581.86950.72640.8057
n = 40Bias0.06060.04010.02680.06060.04010.02680.00190.2058
CP0.92300.92100.91900.93300.93700.93300.86800.8320
AL1.67241.66901.66131.43371.45391.43281.44101.8057
SD2.97632.36702.61562.13021.69421.87210.59480.6646
M2
n = 20Bias0.12270.11170.08560.12270.11170.0856−0.00530.3586
CP0.87900.87900.88100.90200.91500.90600.85300.8150
AL2.35492.35682.34872.19402.24952.20702.15192.5743
SD2.88802.34792.58982.09231.70411.87870.72640.7921
n = 80Bias0.08110.05080.02430.08110.05080.02430.00190.3421
CP0.93600.93100.93500.94400.94600.94700.86800.7940
AL1.69701.69321.68761.45641.46971.45491.44101.7536
SD2.95642.47052.66112.11591.76821.90460.59480.6549
M3
n = 20Bias0.13920.12660.10500.13920.12660.1050−0.00530.3263
CP0.87800.87900.88100.91100.91500.91600.85300.8290
AL2.34072.34312.33612.18202.24602.19912.15192.5981
SD2.88942.26872.56502.09321.64661.86040.72640.7947
n = 80Bias0.09180.06500.04370.09180.06500.04370.00190.3066
CP0.92900.92800.93200.93900.94600.94300.86800.8030
AL1.67501.66841.66291.43721.45161.43441.44101.7434
SD2.95892.38672.61832.11771.70831.87400.59480.6531

M1
n = 20Bias0.09910.09800.07890.09910.09800.0789−0.00570.2874
CP0.87500.87300.87700.89700.91500.90400.85800.8330
AL2.63302.63992.62972.45512.54502.47932.38122.9765
SD3.30562.50422.87982.39651.82042.09150.76510.8508
n = 40Bias0.06660.04520.02620.06660.04520.0262−0.00680.2749
CP0.90200.91500.91100.91000.93500.92900.85800.8030
AL1.90211.89721.89121.62991.65171.63161.66312.0389
SD3.42672.69802.97572.45271.93132.13000.63890.7060
M2
n = 20Bias0.12650.11330.08430.12650.11330.0843−0.00570.4260
CP0.89500.90000.90000.91900.92700.92500.85800.7880
AL2.66132.65892.65222.47872.53092.49082.38122.8391
SD3.25972.68072.93232.36361.94682.12830.76510.8321
n = 40Bias0.08920.05670.02440.08920.05670.0244−0.00680.4145
CP0.92300.92300.91900.93400.93500.93600.85800.7650
AL1.93391.92891.92461.65911.67221.65901.66311.9615
SD3.38372.83913.03652.42202.03232.17350.63890.6934
M3
n = 20Bias0.16460.14770.12370.16460.14770.1237−0.00570.4220
CP0.88300.87300.87900.90200.91000.90700.85800.8010
AL2.59712.59842.58882.42252.48592.43142.38122.8912
SD3.20572.54332.84972.32431.84812.06900.76510.8394
n = 40Bias0.10910.07420.04780.10910.07420.0478−0.00680.3910
CP0.91100.91100.91400.92700.94000.93100.85800.7740
AL1.91051.90251.89801.63881.65411.63721.66312.0048
SD3.38962.73972.98842.42621.96122.13920.63890.7006

M1
n = 20Bias0.15800.14650.11760.15800.14650.1176−0.00580.4920
CP0.88000.86900.87800.90700.90300.90900.85600.8150
AL3.25563.24753.23793.03913.12073.04462.98383.7143
SD4.08923.13243.56852.96872.28472.59880.85650.9512
n = 40Bias0.11020.08260.05270.11020.08260.0527−0.00460.4445
CP0.91800.91200.91400.92900.92700.92900.86300.7860
AL2.37292.36592.35962.03302.05762.03552.09052.5668
SD4.31273.39143.71843.08792.42922.66290.71660.7921
M2
n = 20Bias0.15230.13630.09730.15230.13630.0973−0.00580.6213
CP0.89600.89200.89100.92100.92400.93100.85600.7880
AL3.32183.30803.31023.08773.13273.10672.98383.5378
SD4.08693.40043.66952.96762.47382.66720.85650.9286
n = 40Bias0.12190.09350.04260.12190.09350.0426−0.00460.6363
CP0.92000.92000.92700.93100.93200.93200.86300.7240
AL2.42782.41952.41582.08262.09472.08182.09052.4501
SD4.28393.60143.81823.06752.57932.73430.71660.7754
M3
n = 20Bias0.21940.20070.16420.21940.20070.1642−0.00580.6914
CP0.87000.85600.86900.89900.89000.90300.85600.7650
AL3.20623.19343.19382.98793.05233.00512.98383.5663
SD3.99453.16613.52552.90182.30802.56610.85650.9324
n = 40Bias0.18560.13610.09110.18560.13610.0911−0.00460.6684
CP0.92000.91000.91800.94000.93300.93500.86300.7210
AL2.36622.35242.34952.02922.04162.02582.09052.5127
SD4.24453.42713.70713.03912.45462.65480.71660.7847

M1
n = 20Bias0.22010.20480.16920.22010.20480.16920.00420.8355
CP0.84700.84100.84400.87400.87700.88400.84000.7960
AL4.23594.20354.20823.94674.01363.95944.07175.0903
SD5.38004.16874.68433.91713.05453.42300.99831.1108
n = 40Bias0.18130.13830.09160.18130.13830.0916−0.00200.7745
CP0.92000.91000.92100.93100.93400.93800.85800.7410
AL3.03603.02113.01692.60212.62442.60292.71113.2838
SD5.56184.37774.75873.98453.13813.40990.81630.8960
M2
n = 20Bias0.19140.17900.12460.19140.17900.1246−0.00930.9730
CP0.90700.88900.91100.92800.92300.93100.86400.7640
AL4.27054.24724.25873.97274.01153.99293.86114.5488
SD5.31814.43894.74893.86933.23833.45950.97431.0532
n = 40Bias0.15190.13800.06440.15190.13800.0644−0.00200.9899
CP0.91500.91600.92000.93300.93100.93900.85800.6760
AL3.13343.12013.11832.68762.69982.68782.71113.1629
SD5.61444.68274.93364.02283.35663.53540.81630.8809
M3
n = 20Bias0.28970.25750.20940.28970.25750.2094−0.00931.1480
CP0.85000.84900.86400.88300.87100.89200.86400.7380
AL4.11244.07604.08903.83513.86623.84303.86114.5670
SD5.19164.11054.56243.78323.00983.33250.97431.0546
n = 40Bias0.26690.20320.13090.26690.20320.1309−0.00201.1346
CP0.90300.90500.91900.92300.92100.93400.85800.6430
AL3.04943.01943.02152.61782.61962.60732.71113.1736
SD5.54684.41924.77033.97513.16873.41890.81630.8827