Portability | portable |
---|---|
Stability | experimental |
Maintainer | bos@serpentine.com |
The bootstrap method for statistical inference.
- data Estimate = Estimate {
- estPoint :: !Double
- estLowerBound :: !Double
- estUpperBound :: !Double
- estConfidenceLevel :: !Double
- bootstrapBCA :: Double -> Sample -> [Estimator] -> [Resample] -> [Estimate]
Documentation
A point and interval estimate computed via an Estimator
.
Estimate | |
|
:: Double | Confidence level |
-> Sample | Sample data |
-> [Estimator] | Estimators |
-> [Resample] | Resampled data |
-> [Estimate] |
Bias-corrected accelerated (BCA) bootstrap. This adjusts for both bias and skewness in the resampled distribution.
References
- Davison, A.C; Hinkley, D.V. (1997) Bootstrap methods and their application. http://statwww.epfl.ch/davison/BMA/