Research Article

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

Table 3

The average width of the confidence interval for an independent variable has a normal distribution with mean of 1 and variance of 1 and an error has a scale-contaminated 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

1015.392
412.389
9
16
25
36
49
64
81
100
3014.3704.139
4
9
16
25
36
49
64
81
100
5014.0102.6312.8332.813
45.6435.627
98.4348.441
1611.25411.254
2514.067
3616.881
4919.694
6422.508
8125.322
10028.135
7011.7141.7801.789
43.5583.578
95.3375.368
167.1307.157
258.8938.946
3610.66410.735
4912.47415.524
6414.26414.313
8116.05616.103
10017.84717.892
10011.6181.6581.661
43.6013.3173.321
94.9634.981
166.6236.642
258.2908.302
369.9489.96
4911.58911.623
6419.03213.283
8114.89414.944
10016.56216.604
20011.3021.3231.326
43.7712.5022.6512.652
93.9403.9773.978
165.2975.305
256.6306.631
367.9607.957
499.2729.283
6410.59810.609
8111.93711.936
10013.27713.262

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 confidence interval is not within the specified range.