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Table 8 Parameter estimates and the 2-norm results between the parameter estimates and true values in the case of \(\sigma_{m} = 0.05\) for the third 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

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

17.4372

10.6262

9.8311

1.6658

1.6000

1.5000

1.5

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

23.1451

21.8015

21.5658

19.2789

20.1000

20.0000

20

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

− 1.1115

3.8043

4.3941

10.4287

10.1000

10.0000

10

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

− 12.0305

− 8.7000

− 8.3279

− 4.0328

− 4.2751

− 4.0358

− 4

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

21.2566

12.1247

11.0461

0.8557

0.3251

0.0358

/