Bootstrapping (statistics) - Types of Bootstrap Scheme

Types of Bootstrap Scheme

In univariate problems, it is usually acceptable to resample the individual observations with replacement ("case resampling" below). In small samples, a parametric bootstrap approach might be preferred. For other problems, a smooth bootstrap will likely be preferred.

For regression problems, various other alternatives are available.

Read more about this topic:  Bootstrapping (statistics)

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