| Name | Description | Type | Package | Framework |
| BootstrapEstimator | This class estimates the statistic of a sample using a bootstrap method. | Class | com.numericalmethod.suanshu.stats.random.sampler.resampler | SuanShu |
| CaseResamplingReplacement | This is the classical bootstrap method described in the reference. | Class | com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap | SuanShu |
| GroupResampler | Class | com.numericalmethod.suanshu.stats.random.sampler.resampler.multivariate | SuanShu | |
| MultivariateResampler | This is the interface of a multivariate re-sampler method. | Interface | com.numericalmethod.suanshu.stats.random.sampler.resampler.multivariate | SuanShu |
| PattonPolitisWhite2009 | This class implements the stationary and circular block bootstrapping method with optimized blockSee Also:Politis, N. | Class | com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block | SuanShu |
| PattonPolitisWhite2009 .Type | Returns the enum constant of this type with the specified name. | Class | com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block | SuanShu |
| Resampler | This is the interface of a re-sampler method. | Interface | com.numericalmethod.suanshu.stats.random.sampler.resampler | SuanShu |