Research Article

Efficiency Comparison of New Adjusted Nonparametric and Parametric Statistics Interval Estimation Methods in the Simple Linear Regression Model

Table 1

The average width of the confidence interval for an independent variable has a normal distribution with mean of 1, variance of 1, and an error has a normal distribution with mean of 0 and variance of 1, 4, 9, 16, 25, 36, 49, 64, 81, and 100; sample sizes are 10, 30, 50, 70, 100, and 200.

nVarianceAverage width of confidence interval
LSBSJKTOTATSSLSBSJKTOTATSS

1011.374
44.1133.2822.630
93.100
16
25
36
49
64
81
100
3010.808
41.591
91.953
163.569
253.990
36
4958.011
6466.366
8175.834
10084.260
5010.4850.514
40.964
91.433
161.886
25
363.381
493.651
64
81
100
7010.4920.495
40.979
91.455
16
253.612
363.956
493.680
643.934
81
100
10010.4850.514
40.8410.847
91.2521.2701.270
161.6531.700
252.0412.120
362.4142.545
494.0552.967
644.334
815.074
1004.071
20010.4920.495
40.535
90.8010.8060.806
161.0631.0761.075
251.3221.3421.343
361.5771.6111.611
491.8261.8791.880
642.0702.1472.148
812.3082.4182.417
1003.6872.5392.6882.686

Note: the bolded value refers to the average width of the narrowest confidence interval and the underlined value means that the average width of the confidence interval cannot be calculated because the coefficient of the confidence interval is not within the specified range.