2017
DOI: 10.1080/03610918.2017.1364386
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Exact bootstrap confidence intervals for regression coefficients in small samples

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Cited by 7 publications
(4 citation statements)
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“…The Bootstrap simulation was applied for the validation of the above model, where 500 ran- dom samples were created by sampling with replacement from the original data. This means that the correlation coeffi cient of both the internal and the external model was estimated in all 500 samples, and the average and standard error was calculated (Chin, 1998;Samart, Jansakul & Chongcheawchamnan, 2018). Model parameters where the average is more than double the standard error (SE) are considered statistically signifi cant.…”
Section: Resultsmentioning
confidence: 99%
“…The Bootstrap simulation was applied for the validation of the above model, where 500 ran- dom samples were created by sampling with replacement from the original data. This means that the correlation coeffi cient of both the internal and the external model was estimated in all 500 samples, and the average and standard error was calculated (Chin, 1998;Samart, Jansakul & Chongcheawchamnan, 2018). Model parameters where the average is more than double the standard error (SE) are considered statistically signifi cant.…”
Section: Resultsmentioning
confidence: 99%
“…Bootstrapping is an econometric tool that is frequently used, in particular, to avoid the violation of assumptions of a regression analysis when the sample size is small. For instance, Samart et al (2017) explain how the exact bootstrap confidence interval, for regressions parameters, is effective when the sample size is very small and under Laplace distribution.…”
Section: Methodology and Datamentioning
confidence: 99%
“…However, the subjective selection of the prior distribution limits its application [27]. The Bootstrap method assumes that the empirical distribution fits the sample distributions well and extends the sample by resampling [28,29]. This method is intuitive and convenient, but the estimates are usually approximate.…”
Section: Introductionmentioning
confidence: 99%