The general structural error-in-variable regression models is discussed. A consistent estimator of the regression parameter is presented.
2
在一定条件下证明了此岭估计的相合性。
Under the general condition, the consistency of the ridge estimation is proved.
3
本文构造了非线性模型中参数的经验欧氏似然比统计量,并证明了该似然估计的强相合性和渐近正态性。
In this paper, empirical Euclidean likelihood ratio statistics are constructed for parametric in a nonlinear model. And prove strong consistency and asymptotic normality of the estimation.