A parametric bootstrap simulates repeated datasets from a fitted parametric model and refits the procedure to each dataset. The resulting empirical distribution approximates the sampling distribution under that fitted model.
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- Bootstrapping (statistics)
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- Individual Bernoulli deviance need not have a chi-squared calibration
- Kolmogorov-Smirnov test
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