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Table 7 Average variances and biases of \(\beta_{ 0}\) and \(\beta_{1}\) on a linear surface (single-type)

From: A modification to geographically weighted regression

S/N of \(\beta_{ 0}\):

OLS

Basic GWR

Local linear

CGWR

1

5

1

5

1

5

1

5

(i) \(\beta_{ 0}\)

        

Conditional on S/N of \(\beta_{1}\) = 1

        

Variance

0.009

0.011

0.039

0.067

0.051

0.052

0.024

0.036

Bias

0.029

0.028

0.002

0.004

0.0003

0.0002

0.001

0.0002

Conditional on S/N of \(\beta_{1}\) = 5

        

Variance

0.010

0.009

0.090

0.107

0.057

0.043

0.048

0.057

Bias

0.723

0.719

0.026

0.038

0.0005

0.0002

0.012

0.009

(ii) \(\beta_{1}\)

        

Conditional on S/N of \(\beta_{1}\) = 1

        

Variance

0.031

0.036

0.113

0.190

0.146

0.145

0.071

0.117

Bias

0.038

0.695

0.013

0.051

0.001

0.0005

0.004

0.028

Conditional on S/N of \(\beta_{1}\) = 5

        

Variance

0.030

0.027

0.248

0.294

0.152

0.114

0.088

0.152

Bias

0.191

0.880

0.048

0.124

0.001

0.0002

0.004

0.010

  1. The values (1, 5) indicate the signal/noise ratio