The error-in-variables model identification on the basis of Deming’s approach

Some approaches to regression models constructing with stochasticity for both endogenous and exogenous variables are considered. The original geometric interpretation of particular cases of Deming regression for parameter estimation’s functional is suggested. The proposition of mutual arrangement for straight, inverse, diagonal, and orthogonal regressions is proved. The bias and standard deviation for regression parameter estimators in dependence of weight’s coefficients ratio in Deming model has been obtained.