The purpose of this note is to derive alternative formulae for parameter estimation in partial errors-in-variables models to those given in Xu et al. (J Geod 86:661–675, 2012). We show that these new formulae are more compact and more straightforward to interpret the corrections of the random elements of the design matrix. Nevertheless, each formula has its own computational advantage, depending on the relationship between the number of measurements y and that of the independent random elements of the design matrix
Liu, J., Shi, Y., Xu, P., Shi, C. Alternative formulae for parameter estimation in partial errors-in-variables models,
Springer Berlin Heidelberg, 2015, с. 13-16.
Liu, J., Shi, Y., Xu, P., Shi, C. .
Alternative formulae for parameter estimation in partial errors-in-variables models.
: Springer Berlin Heidelberg, 2015, с. 13-16.
Liu, J., Shi, Y., Xu, P., Shi, C. (2015)
Alternative formulae for parameter estimation in partial errors-in-variables models,
: Springer Berlin Heidelberg, с. 13-16
Liu, J.,
Shi, Y.,
Xu, P., &
Shi, C.
(2015).
Alternative formulae for parameter estimation in partial errors-in-variables models. Journal of Geodesy. Springer Berlin Heidelberg 89 (1), с. 13-16.
