statistics-0.6.0.2: A library of statistical types, data, and functionsSource codeContentsIndex
Statistics.Resampling.Bootstrap
Portabilityportable
Stabilityexperimental
Maintainerbos@serpentine.com
Contents
References
Description
The bootstrap method for statistical inference.
Synopsis
data Estimate = Estimate {
estPoint :: !Double
estLowerBound :: !Double
estUpperBound :: !Double
estConfidenceLevel :: !Double
}
bootstrapBCA :: Double -> Sample -> [Estimator] -> [Resample] -> [Estimate]
Documentation
data Estimate Source
A point and interval estimate computed via an Estimator.
Constructors
Estimate
estPoint :: !DoublePoint estimate.
estLowerBound :: !DoubleLower bound of the estimate interval (i.e. the lower bound of the confidence interval).
estUpperBound :: !DoubleUpper bound of the estimate interval (i.e. the upper bound of the confidence interval).
estConfidenceLevel :: !DoubleConfidence level of the confidence intervals.
show/hide Instances
bootstrapBCASource
:: DoubleConfidence level
-> SampleSample data
-> [Estimator]Estimators
-> [Resample]Resampled data
-> [Estimate]
Bias-corrected accelerated (BCA) bootstrap. This adjusts for both bias and skewness in the resampled distribution.
References
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