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Profile inference on partially linear varying-coefficient errors-in-variables models under restricted condition

机译:受限条件下部分线性变系数变量误差模型的轮廓推断

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摘要

In this paper, we investigate the estimation and testing problems of partially linear varying-coefficient errors-in-variables (EV) models under additional restricted condition. The restricted estimators of parametric and nonparametric components are established based on modified profile least-squares method, and their asymptotic properties are also studied under some regularity conditions. Moreover, the modified profile Lagrange multiplier test statistic is constructed under additional restricted condition. It is shown that the modified profile Lagrange multiplier test statistic is asymptotically distribution-free and follows a Chi-squared distribution under the null hypothesis. Some simulation studies are carried out to assess the performance of the proposed methods. A real dataset is analyzed for illustration.
机译:在本文中,我们研究了在附加约束条件下部分线性变系数变量误差(EV)模型的估计和测试问题。基于修正轮廓最小二乘法建立了参数和非参数分量的受限估计量,并在一定规律性条件下研究了它们的渐近性质。此外,在附加的受限条件下构造了改进的轮廓拉格朗日乘数检验统计量。结果表明,修正的拉格朗日乘数检验统计量没有渐近分布,并且在原假设下遵循卡方分布。进行了一些仿真研究,以评估所提出方法的性能。分析实际数据集以进行说明。

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