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#Com.numericalmethod.suanshu.stats.random.sampler.resampler Classes and Interfaces - 7 results found.
NameDescriptionTypePackageFramework
BootstrapEstimatorThis class estimates the statistic of a sample using a bootstrap method.Classcom.numericalmethod.suanshu.stats.random.sampler.resamplerSuanShu
CaseResamplingReplacementThis is the classical bootstrap method described in the reference.Classcom.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrapSuanShu
GroupResamplerClasscom.numericalmethod.suanshu.stats.random.sampler.resampler.multivariateSuanShu
MultivariateResamplerThis is the interface of a multivariate re-sampler method.Interfacecom.numericalmethod.suanshu.stats.random.sampler.resampler.multivariateSuanShu
PattonPolitisWhite2009This class implements the stationary and circular block bootstrapping method with optimized blockSee Also:Politis, N.Classcom.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.blockSuanShu
PattonPolitisWhite2009 .TypeReturns the enum constant of this type with the specified name.Classcom.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.blockSuanShu
ResamplerThis is the interface of a re-sampler method.Interfacecom.numericalmethod.suanshu.stats.random.sampler.resamplerSuanShu