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Table 5 Parameter estimates and the 2-norm results between the parameter estimates and true values for the second example

From: A method for mixed additive and multiplicative random error models with inequality constraints in geodesy

Parameter

LS

WLS

bcWLS

Algorithm 2

Algorithm 3 I

Algorithm 3 II

True value

\(\hat{\beta }_{1}\)

9.4812

9.7034

9.6968

7.6056

9.8685

9.9992

10

\(\hat{\beta }_{2}\)

5.6544

3.9896

3.9633

2.6792

1.1315

1.0008

1

\(\hat{\beta }_{3}\)

− 5.2673

− 2.7707

− 2.7753

1.3940

1.8685

0.9992

1

\(\hat{\beta }_{4}\)

3.8171

2.6352

2.6423

0.6744

1.1315

1.0008

1

\(\hat{\beta }_{5}\)

− 0.1891

− 0.0181

− 0.0199

0.2426

0.0685

0.1992

0.2

\(\left\| \Delta \varvec{\hat{\beta} } \right\|\)

8.3246

5.0957

5.0864

2.9692

0.9074

0.0019

/