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
1000
Bootstrap.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)