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Communications in Statistics - Theory and Methods Volume 52, 2023 - Issue 8
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Articles

Bootstrapping some GLM and survival regression variable selection estimators

Rasanji C. RathnayakeSchool of Mathematical & Statistical Sciences, Southern Illinois University, Carbondale, Illinois, USA
&
David J. OliveSchool of Mathematical & Statistical Sciences, Southern Illinois University, Carbondale, Illinois, USACorrespondence[email protected]
Pages 2625-2645 | Received 07 Apr 2021, Accepted 09 Jul 2021, Published online: 09 Sep 2021

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Read on this site (2)

David J. Olive & Lingling Zhang. One component partial least squares, high dimensional regression, data splitting, and the multitude of models. Communications in Statistics - Theory and Methods 0:0, pages 1-17.
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Mulubrhan G. Haile & David J. Olive. Bootstrapping ARMA time series models after model selection. Communications in Statistics - Theory and Methods 0:0, pages 1-16.
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Articles from other publishers (4)

Mulubrhan G. Haile, Lingling Zhang & David J. Olive. (2024) Predicting Random Walks and a Data-Splitting Prediction Region. Stats 7:1, pages 23-33.
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Sedigheh Zamani Mehreyan. (2023) Bootstrap choice of non-nested autoregressive model with non-normal innovations. Monte Carlo Methods and Applications 29:3, pages 243-258.
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David J. Olive, Rasanji C. Rathnayake & Mulubrhan G. Haile. (2021) Prediction intervals for GLMs, GAMs, and some survival regression models. Communications in Statistics - Theory and Methods 51:22, pages 8012-8026.
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Lasanthi C. R. Pelawa Watagoda & David J. Olive. (2020) Comparing six shrinkage estimators with large sample theory and asymptotically optimal prediction intervals. Statistical Papers 62:5, pages 2407-2431.
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