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A Revisit to the Application of Weighted Mixed Regression Estimation in Linear Regression Models with Missing Data

2001
This paper deals with the application of the weighted mixed regression estimation of the coefficients in a linear model when some values of some of the regressors are missing. Taking the weight factor as an arbitrary scalar, the performance of weighted mixed regression estimator in relation to the conventional least squares and mixed regression ...
Toutenburg, Helge, Srivastava, V. K.
openaire   +1 more source

Pitfalls of linear regression for estimating slopes over time and how to avoid them by using linear mixed-effects models.

Nephrology, Dialysis and Transplantation, 2019
C. Janmaat   +5 more
semanticscholar   +1 more source

Modified stochastic weighted mixed estimator for linear regression model

AIP Conference Proceedings, 2023
Mahmoud H. Eiada AL_Hayani   +1 more
openaire   +1 more source

A nonlinear mixed–integer programming approach for variable selection in linear regression model

Communications in Statistics Part B: Simulation and Computation, 2023
, Zohre Aminifard, Saman Babaie-Kafaki
exaly  

A nonlinear mixed–integer programming approach for variable selection in linear regression model

Communications in Statistics - Simulation and Computation, 2021
Mahdi Roozbeh   +2 more
openaire   +1 more source

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