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Table 1 Biases of the estimators \(\widehat{\theta }_{n}^{(k)}\) and \(\widehat{\theta }_{J}^{(k)}\) with different sample sizes and MRs

From: Jackknifing for partially linear varying-coefficient errors-in-variables model with missing response at random

\(\Sigma _{e}\)

MR

n

\(\widehat{\theta }_{n}^{(1)}\)

\(\widehat{\theta }_{n}^{(2)}\)

\(\widehat{\theta }_{n}^{(3)}\)

\(\widehat{\theta }_{J}^{(1)}\)

\(\widehat{\theta }_{J}^{(2)}\)

\(\widehat{\theta }_{J}^{(3)}\)

\(\Sigma _{e1}\)

10%

50

0.0112

0.0040

0.0038

0.0112

0.0039

0.0036

100

0.0107

0.0016

0.0015

0.0104

0.0013

0.0011

150

0.0072

0.0004

0.0004

0.0071

0.0003

0.0003

20%

50

−0.0121

−0.0072

−0.0073

−0.0119

−0.0060

−0.0062

100

0.0072

0.0053

0.0054

0.0064

0.0049

0.0052

150

0.0019

0.0023

0.0022

0.0020

0.0023

0.0020

30%

50

−0.0128

−0.0087

−0.0083

−0.0095

−0.0056

−0.0046

100

0.0127

0.0075

0.0073

0.0123

0.0067

0.0062

150

0.0080

0.0026

0.0024

0.0081

0.0024

0.0021

\(\Sigma _{e2}\)

10%

50

0.0134

0.0042

0.0038

0.0132

0.0034

0.0033

100

−0.0122

0.0029

0.0028

−0.0122

0.0028

0.0026

150

−0.0054

0.0023

0.0021

−0.0031

0.0017

0.0013

20%

50

−0.0174

−0.0082

−0.0078

−0.0154

−0.0081

0.0080

100

−0.0131

0.0089

0.0079

−0.0101

0.0065

0.0065

150

0.0038

−0.0048

−0.0049

0.0043

−0.0047

−0.0044

30%

50

−0.0134

−0.0089

−0.0089

−0.0103

−0.0062

−0.0063

100

0.0130

0.0083

0.0083

0.0129

0.0078

0.0076

150

0.0086

0.0023

0.0022

0.0085

0.0020

0.0019