Matrix strengthening the identification of observations with split functional models in the squared Msplit(q) estimation process

This article addresses the issue of raising the level of identification of observations with either single or more split functional models in the squared Msplit(q) estimation process. The theoretical part of the study presents the theoretical grounds for the classical method for estimating parameters in a split functional model and proposes a modification of the computational algorithm to increase the quality of the determinations obtained. Theoretical considerations were verified through numerical tests concerning, e.g. issues of geodetic surveying practice and civil engineering.