Estimation of the mean of the partially linear single-index errors-in-variables model with missing response variables

Journal of Inequalities and Applications

Table 1 Biases and SE of \(\hat{\boldsymbol{\theta }}_{1}\), \(\hat{\boldsymbol{\theta }}_{2}\) under different missing functions and different sample sizes

Missing rate	n	\(\hat{\boldsymbol{\theta }}_{1}\)	\(\hat{\boldsymbol{\theta }}_{2}\)
0.40	100	−0.0305 (0.1290)	0.0088 (0.1299)
	150	0.0101 (0.1088)	0.0072 (0.1079)
	200	0.0162 (0.0904)	0.0055 (0.0904)
0.30	100	−0.0234 (0.1270)	0.0109 (0.1282)
	150	0.0228 (0.1078)	0.0063(0.1065)
	200	0.0166 (0.0892)	0.0064(0.0893)
0.20	100	−0.0394 (0.1247)	0.0122(0.1272)
	150	0.0141 (0.1055)	0.0068(0.1056)
	200	0.0120 (0.0875)	0.0069(0.0886)
0.10	100	0.0123 (0.1241)	0.0136(0.1261)
	150	0.0107 (0.1038)	0.0073(0.1047)
	200	0.0089 (0.0871)	0.0074(0.0879)