Two Stage Estimation in Semiparametric Model
Abstract
Considering the semi-parametric surveying adjustment models. Firstly, the estimators of parameters and nonparametric are derived by using the kernel function and least square method. Secondly, discuss the approach of bandwidth choice in the semi-parametric surveying adjustment models. Finally, a simulated adjustment problem is constructed to explain this method. The new method presented in this paper shows an effective way of solving the problem; the estimated values are nearer to their theoretical ones than the adjustment method of least squares.
Keywords
Semiparametric adjustment models; Two-stage estimation; Kernel function; Model error
DOI
10.12783/dtmse/icmsme2016/7513
10.12783/dtmse/icmsme2016/7513
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