Estimation of Linear Regression Models with Missing Observations on Both the Explanatory and Study Variables

H. Toutenburg; V. K. Srivastava; Shalabh

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Estimation of Linear Regression Models with Missing Observations on Both the Explanatory and Study Variables

机译：缺少解释变量和研究变量的线性回归模型的估计

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Thispaperdiscussestheestimationofcoefficientsinalinearregressionmodelwhentherearesomemissingobservationsonanexplanatoryvariableandthestudyvariableindividuallyaswellassimultaneously.Thefirstorderregressionmethodofimputationisfollowedandtheleastsquaresprocedureisapplied.Efficiencypropertiesofestimatorsaretheninvestigatedemployingthelargesampleasymptotictheory.

机译：本文讨论了线性回归模型的系数估计，这是因为在一个解释性变量和研究变量之间缺少一些观测值的情况下，各个变量都可以同时进行。

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《Quality Technology and Quantitative Management》 |2006年第2期|共页
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H. Toutenburg; V. K. Srivastava; Shalabh;
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1. Estimation of regression models with equi-correlated responses when some observations on the response variable are missing [J] . H. Toutenburg, Shalabh Statistical papers . 2003,第2期

机译：当缺少对响应变量的某些观察结果时，估计具有等相关响应的回归模型
2. Methods for the Analysis of Explanatory Linear Regression Models with Missing Data Not at Random [J] . José Blas Navarro Pastor Quality & Quantity . 2003,第4期

机译：数据不随机的解释线性回归模型的分析方法
3. Estimating and testing interactions in linear regression models when explanatory variables are subject to classical measurement error. [J] . Murad H, Freedman LS Statistics in medicine . 2007,第23期

机译：当解释变量受经典测量误差影响时，估计和测试线性回归模型中的交互作用。
4. On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables [C] . Ricardo A.M. da Silva, Francisco de A.T. de Carvalho International conference on artificial neural networks . 2017

机译：关于聚类线性回归和K-均值与解释变量自动加权的组合
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. Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions Non-independent Observations and Non-linear Predictors With Random Effects and Generalized Additive Models for Location Scale and Shape [O] . Christophe Coupé -1

机译：使用回归模型为语言变量建模：处理具有随机效应的非高斯分布非独立观测值和非线性预测变量以及位置尺度和形状的广义加性模型
7. Estimation of Linear Regression Models with Missingness of Observations on Both the Explanatory and Study Variables-Part I: Theoretical Results [O] . Toutenburg Helge, Srivastava V. K. 2000

机译：对解释和研究变量缺失观察的线性回归模型的估计 - 第一部分：理论结果
8. Estimating Linear Regressions with Mismeasured, Possibly Endogenous, Binary Explanatory Variables Working paper [R] . Frazis, H., Loewenstein, M. A. 2002

机译：使用误差，可能是内生的二元解释变量工作文件来估计线性回归

Estimation of Linear Regression Models with Missing Observations on Both the Explanatory and Study Variables

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