Companion
object Companion
Functions
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For the so called, BCa, interval, the approach requires an acceleration factor. The acceleration factor measures the rate of change of the standard error of the estimator with respect to the target parameter on a normalized scale. This function computes the acceleration factor based on the bootstrap estimates and the original estimated quantity using jackknifing.
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For the so called, BCa, interval, the approach requires a bias correction factor which in essence measures the median bias of the bootstrap replicates for the estimated quantity. This function computes the bias correction factor based on the bootstrap estimates and the original estimated quantity.
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fun create(sampleSize: Int, sampler: SampleIfc, estimator: BSEstimatorIfc, stream: RNStreamIfc = KSLRandom.nextRNStream(), name: String? = null): Bootstrap