Bootstrapping multiple linear regression after variable selection

Lasanthi C. R. Pelawa Watagoda; David J. Olive

doi:10.1007/s00362-019-01108-9

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Bootstrapping multiple linear regression after variable selection

Lasanthi C. R. Pelawa Watagoda David J. Olive

Year: 2019 Journal: Statistical Papers Vol: 62 (2)Pages: 681-700 Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-019-01108-9

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Keywords:

Bootstrapping (finance) Estimator Statistics Linear regression Mathematics Feature selection Selection (genetic algorithm) Confidence interval Regression analysis Model selection Variables Variable (mathematics) Econometrics Computer science Artificial intelligence

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Bootstrapping multiple linear regression after variable selection

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