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首页> 外文期刊>Theory of probability and mathematical statistics >Consistency of an estimator of the parameters of a polynomial regression with a known variance relation for errors in the measurement of the regressor and the echo
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Consistency of an estimator of the parameters of a polynomial regression with a known variance relation for errors in the measurement of the regressor and the echo

机译:多项式回归参数的估计量与已知方差关系的一致性,用于回归变量和回波的测量误差

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摘要

We consider an error-in-variables model for a polynomial regression with Gaussian errors. We assume that the covariance matrix of the measurement errors of the regressor and the echo is known up to a scalar factor. We consider the moment estimator of regression coefficients proposed by Cheng and Schneeweiss. Sufficient conditions for the strong consistency of this estimator are given and the rate of convergence is estimated in this paper.
机译:我们考虑具有高斯误差的多项式回归的变量误差模型。我们假设回归系数和回波的测量误差的协方差矩阵在标量因子之前是已知的。我们考虑由Cheng和Schneeweiss提出的回归系数的矩估计量。给出了该估计的强一致性的充分条件,并估计了收敛速度。

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