An Exponential-Cum-Sine-Type Hybrid Imputation Technique for Missing Data

Table 5

Values of when and response rates are for data generated from normal, Gamma, and Poisson distributions.

	when response rate is
	75%	80%	85%	90%	95%
	When data is generated from normal distribution
0.1	100.134 4	100.110 6	100.085 5	100.058 7	100.030 3
0.2	101.457 1	101.196 9	100.922 4	100.632 3	100.325 4
0.3	102.640 5	102.164 5	101.664 4	101.138 3	100.584 3
0.4	103.563 8	102.916 5	102.238 9	101.528 5	100.783 1
0.5	104.411 4	103.604 8	102.762 9	101.883 2	100.963 2
0.6	106.314 4	105.142 8	103.928 1	102.667 8	101.359 4
0.7	108.313 4	106.747 4	105.135 1	103.474 6	101.763 7
0.8	107.626 8	106.197 5	104.722 5	103.199 5	101.626 2
0.9	109.266 4	107.508 4	105.704 6	103.853 2	101.952 4
	When data is generated from Gamma distribution
0.1	99.298 0	99.421 1	99.552 1	99.691 6	99.840 6
0.2	99.950 0	99.958 9	99.968 2	99.978 1	99.988 7
0.3	100.587 7	100.483 5	100.373 2	100.256 3	100.132 1
0.4	101.385 6	101.138 3	100.877 3	100.601 5	100.309 5
0.5	102.425 1	101.988 6	101.529 7	101.046 7	100.537 5
0.6	103.616 2	102.959 2	102.271 4	101.550 6	100.794 3
0.7	105.340 6	104.357 1	103.333 8	102.268 4	101.158 1
0.8	106.962 2	105.664 0	104.321 1	102.931 2	101.491 7
0.9	109.279 9	107.519 1	105.712 6	103.858 5	101.955 0
	When data is generated from Poisson distribution
0.1	99.970 1	99.975 3	99.980 9	99.986 9	99.993 2
0.2	100.248 2	100.204 3	100.157 8	100.108 4	100.055 9
0.3	100.602 0	100.495 2	100.382 2	100.262 5	100.135 3
0.4	100.937 7	100.770 9	100.594 7	100.408 1	100.210 2
0.5	101.536 9	101.262 3	100.972 6	100.666 6	100.343 0
0.6	101.946 9	101.597 9	101.230 2	100.842 6	100.433 1
0.7	102.653 3	102.174 9	101.672 3	101.143 7	100.587 1
0.8	103.225 6	102.641 4	102.028 9	101.386 1	100.710 6
0.9	104.123 4	103.371 2	102.585 2	101.763 1	100.902 3