Bootstrap methods: a practitioner's guide

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A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering (2014, methodology): “676 Furthermore, general techniques such as bootstrapping[24] can be employed to create confidence intervals 677 for Â12 or any other statistics of interest (e.”
Effective detection of sophisticated online banking fraud on extremely imbalanced data (2012, methodology): “In our system, bootstrap sampling [17, 21] is applied to keep the data’s statistical distribution.”
Application of bootstrap method in conservative estimation of reliability with limited samples (2010, methodology): “When only limited samples are available, the bootstrap method can provide an efficient way of estimating the distribution of statistical parameter θ using the re-sampling technique (Efron 1982; Chernick 1999).”