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Identification Methods for Linear Regression Based on Data of Household Budget Surveys

机译:基于家庭预算调查数据的线性回归识别方法

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In the article various methods for estimating the linear regression parameters in the case of errors in the explanatory variable are considered. Williamson algorithm modification is proposed. A comparison to other approaches by simulation study is made. The advantages and disadvantages of the proposed method are revealed.
机译:在考虑中,考虑了用于估计解释变量中的错误的线性回归参数的各种方法。提出了Williamson算法修改。制作了与仿真研究的其他方法的比较。揭示了所提出的方法的优点和缺点。

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