A typical problem of estimation principles of variance and covariance components is that they do not produce positive variances in general. This caveat is due, in particular, to a variety of reasons: (1) a badly chosen set of initial variance components, namely initial value problem (IVP), (2) low redundancy in functional model, (3) an improper stochastic model, and (4) data’s possibility of containing outliers. Accordingly, a lot of effort has been made in order to design non-negative estimates of variance components.
Moghtased-Azar, K., Tehranchi, R., Amiri-Simkooei, A. An alternative method for non-negative estimation of variance components,
Springer Berlin Heidelberg, 2014, с.427-439.
Moghtased-Azar, K., Tehranchi, R., Amiri-Simkooei, A. .
An alternative method for non-negative estimation of variance components.
: Springer Berlin Heidelberg, 2014, с.427-439.
Moghtased-Azar, K., Tehranchi, R., Amiri-Simkooei, A. (2014)
An alternative method for non-negative estimation of variance components,
: Springer Berlin Heidelberg, с.427-439
Moghtased-Azar, K.,
Tehranchi, R., &
Amiri-Simkooei, A.
(2014).
An alternative method for non-negative estimation of variance components. Journal of Geodesy. Springer Berlin Heidelberg 88 (5), с.427-439.
