A New Method of Maximum Posterior Estimation with Functionally Correlative Connected Parameters Used to Extended Networks
Hui Qin · Journal of The Pla Institute of Surveying and Mapping · 2001
The functionally correlative connected parameters being equivalent to have constraints between these make that their cofactor matrix become rank defect and its Cayley inverse P′ 2 =Q -1 ′ 2 dose not exist. In this case the formulae of maximum posterior estimation are more complicate. In order to simplify this method of estimation, this paper, based on that this estimation is only satisfied with these constraints between the parameters derives a new method of maximum posterior estimation.