Jackknife model averaging for linear regression models with missing responses

Jie Zeng; Weihu Cheng; Guozhi Hu

doi:10.1007/s42952-024-00259-2

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Jackknife model averaging for linear regression models with missing responses

Jie Zeng Weihu Cheng Guozhi Hu

Year: 2024 Journal: Journal of the Korean Statistical Society Vol: 53 (3)Pages: 583-616 Publisher: Elsevier BV

DOI: 10.1007/s42952-024-00259-2

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Keywords:

Jackknife resampling Mathematics Statistics Linear regression Linear model Missing data Regression Regression analysis General linear model Generalized linear model Econometrics Estimator

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Jackknife model averaging for linear regression models with missing responses

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