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The fourth method uses a bootstrap approach.
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Field-significance was tested using a bootstrap approach.
Rather than use a bootstrap approach which would resample from actual CFS, we instead use an empirical fit of the distributions of the CFS in space and time.
Hosseinzadeh et al. (2016) identified the importance of a balance of efficiency gains and losses for 33 Australian mining firms by using a bootstrap approach.
The idea of using a bootstrap approach to simulate on environmental data to financial outcomes, including the repayment time and CFaR metrics chosen here, is generally applicable.
The idea is to extend the EM algorithm using a bootstrap approach but also allowing for the incorporation of priors on model parameters.
We used a bootstrap approach to explore parameter uncertainty.
As earlier, this result was confirmed using a bootstrap approach (P = 0.0073 and P = 0.0039, respectively).
We can then compare this score with an expected value obtained using a bootstrap approach; the method is explained in detail in the results section.
We calculated power using a bootstrap approach.
Standard errors were calculated using a bootstrap approach (10,000 resamples).
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