Library
Sampling
Non-Parametric Sampling
Bootstrap.BasicSampling — TypeBasic Sampling
BasicSampling(1000)Bootstrap.BalancedSampling — TypeBalanced Sampling
BalancedSampling(1000)Bootstrap.ExactSampling — TypeExact Sampling
ExactSampling()Bootstrap.AntitheticSampling — TypeAntithetic Sampling
AntitheticSampling(1000)Bootstrap.MaximumEntropySampling — TypeParametric Sampling
Bootstrap.ResidualSampling — TypeResidual Sampling
ResidualSampling(1000)Bootstrap.WildSampling — TypeWild Sampling
WildSampling(1000, rademacher)
WildSampling(1000, mammen)Accessors
Bootstrap.nrun — FunctionNumber of samples drawn from a bootstrap sampling
bs = BasicSampling(1000)
nrun(bs)
# output
1000Bootstrap.statistic — FunctionReturn the statistic function of a BootstrapSample
bs = bootstrap(mean, randn(20), BasicSampling(100))
statistic(bs)Bootstrap.noise — FunctionReturn the noise function of a wild bootstrap sampling
Confidence Intervals
Bootstrap.BasicConfInt — TypeBasic Confidence Interval
BasicConfInt(0.95)Bootstrap.PercentileConfInt — TypePercentile Confidence Interval
PercentileConfInt(0.95)Bootstrap.NormalConfInt — TypeNormal Confidence Interval
NormalConfInt(0.95)Bootstrap.StudentConfInt — TypeStudent's Confidence Interval
StudentConfInt(0.95)Bootstrap.BCaConfInt — TypeBias-Corrected and Accelerated (BCa) Confidence Interval
BCaConfInt(0.95)