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Least Squares Estimation of the Linear Regression Coefficients, when the Observed Values of the Dependent and Independent Variables Have Error and Repeated Measurements Can Be Made on the Variables

机译：当因变量和自变量的观测值存在误差并且可以对变量进行重复测量时，线性回归系数的最小二乘估计

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18 pages, 1 article

机译：18页，共1条

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作者
Hsuan Alice; Cornell University. Biometrics Unit.; Cornell University. Dept. of Biometrics.; Cornell University. Dept. of Biological Statistics and Computational Biology.;
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年度 1973
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原文格式 PDF
正文语种 en_US
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专利

1. Estimation of Regression Coefficients in a Restricted Measurement Error Model Using Instrumental Variables [J] . SHALABH, GAURAV GARG, NEERAJ MISRA Communications in Statistics . 2011,第19a21期

机译：利用乐器变量估计受限制测量误差模型中的回归系数
2. Method comparison with repeated measurements - Passing-Bablok regression for grouped data with errors in both variables [J] . Baumdicker F., Hoelker U. Statistics & Probability Letters . 2020,第1期

机译：方法比较与重复测量的 - Bablok回归在两个变量中具有错误的分组数据
3. Integrating the error in the independent variable for optimal parameter estimation. Part II: implementation to experimental estimation of the thermal dispersion coefficients in porous media with not precisely known thermocouple locations [J] . Thomas Metzger, Sophie Didierjean, Denis Maillet Inverse problems in engineering . 2003,第3期

机译：将误差整合到自变量中以获得最佳参数估计。第二部分：在实验中估算热电偶位置未知的多孔介质中的热扩散系数
4. Kernel PLS Regression II: Kernel Partial Least Squares Regression by Projecting Both Independent and Dependent Variables into Reproducing Kernel Hilbert Space [C] . Yan Pei International Conference on Systems, Man, and Cybernetics . 2018

机译：内核PLS回归II：通过将自变量和因变量都投影到可再生内核希尔伯特空间中来进行内核偏最小二乘回归
5. Essays on Nonparametric Identification: Identification of Dependent Multidimensional Unobserved Variables in a System of Linear Equations Identification and Estimation for Regressions with Errors in All Variables Identification of Nonparametrically Distributed Random Coefficients in Linear Panel Data Models. [D] . Ben-Moshe, Dan. 2012

机译：关于非参数识别的论文：线性方程组中相关多维多维观测变量的识别以及线性面板数据模型中非参数分布随机系数的所有变量中所有变量均具有误差的回归估计。
6. Beta regression model nonlinear in the parameters with additive measurement errors in variables [O] . Daniele de Brito Trindade, Patrícia Leone Espinheira, Klaus Leite Pinto Vasconcellos, 2021

机译：β回归模型在变量中具有添加测量误差的参数中的非线性
7. Sensitivity Coefficients for the Effects of Errors in the Independent Variables in a Linear Regression. [R] . Stewart, G. W. 1977

机译：线性回归中独立变量误差影响的灵敏度系数。

Least Squares Estimation of the Linear Regression Coefficients, when the Observed Values of the Dependent and Independent Variables Have Error and Repeated Measurements Can Be Made on the Variables

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