2020
DOI: 10.1080/03610926.2020.1725829
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Model selection in linear regression using paired bootstrap

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Cited by 5 publications
(8 citation statements)
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“…For this analysis we have removed one outlier participant who was taking most of classes via the College Credit Plus (CCP) program. The best fitting regression model (Johnson and Wichern, 2015) was determined using R statistical software which identifies parameters that minimize the Akaike Information Criterion (AIC) (Rabbi et al, 2020). The model automatically identified included a School.Time parameter that was not significant (p >> 0.05).…”
Section: Multivariate Regression Analysismentioning
confidence: 99%
“…For this analysis we have removed one outlier participant who was taking most of classes via the College Credit Plus (CCP) program. The best fitting regression model (Johnson and Wichern, 2015) was determined using R statistical software which identifies parameters that minimize the Akaike Information Criterion (AIC) (Rabbi et al, 2020). The model automatically identified included a School.Time parameter that was not significant (p >> 0.05).…”
Section: Multivariate Regression Analysismentioning
confidence: 99%
“…Pada puncaknya (Rabbi et al, 2021) pandemi COVID-19 telah berdampak besar pada kehidupan lebih dari 1,6 miliar siswa dan sekolah mereka di seluruh dunia. Seperti banyak negara lain, Amerika Serikat telah mengadopsi kebijakan penutupan sekolah sejak pertengahan Maret 2020 untuk mengatasi pandemi.…”
Section: Pendahuluanunclassified
“…Kondisi pandemi secara historis berdampak signifikan terhadap kondisi psikologis masyarakat, khususnya anak-anak dan remaja, yang lebih rentan mengalami gangguan psikologis (Karata, et al, 2020). Ini karena proses kognitif dan emosional mereka yang belum matang, membuat mereka lebih sulit untuk memahami masalah dan mengekspresikan emosi mereka secara tepat (Rabbi et al, 2021).…”
Section: Pendahuluanunclassified
“…The GPrC algorithm can be applied here in almost exactly the same way as in the basic iid setup in Section 3.3. That is, take B many bootstrap samples D n b from D n , which amounts to B distinct samples of pairs (X i , Y i ) with replacement from the original sample-this is the so-called paired bootstrap (e.g., Efron 1979;Flachaire 2005;Freedman 1981;Rabbi et al 2021). Then approximate the above coverage probability by…”
Section: Calibration In Regression Problemsmentioning
confidence: 99%