Abstract:The partial errors-in-variables model of variance component estimation precision evaluation theory needs improvement, so we apply the SUT sampling method to the minimum norm quadratic unbiased estimation of Partial EIV model. Using the variance component estimation modified stochastic model, we then use it as a priori information to obtain the weighted mean and second-order precision information by the SUT sampling method. Considering the deviation of the nonlinear model, the deviation correction is carried out, and the second-order precision information is calculated by the SUT method. An experiment shows that combining SUT method and variance component estimation to deal with Partial EIV model can effectively avoid complicated derivation operation, and gets more accurate parameter values and reasonable second-order accuracy information. It also shows the necessity of deviation correction.
WANG Leyang,DING Rui,WU Lulu. Partial EIV Model Variance Component Estimation and Accuracy Evaluation of SUT Method by Deviation Correction[J]. jgg, 2019, 39(7): 711-716.