bootStrapParameterEstimates

fun bootStrapParameterEstimates(result: EstimationResult, numBootstrapSamples: Int = 399, level: Double = 0.95, stream: RNStreamIfc = KSLRandom.nextRNStream()): List<BootstrapEstimate>

fun bootStrapParameterEstimates(estimator: MVBSEstimatorIfc, numBootstrapSamples: Int = 399, level: Double = 0.95, stream: RNStreamIfc = KSLRandom.nextRNStream(), label: String? = null): List<BootstrapEstimate>

Computes bootstrap confidence intervals for the estimated parameters of the distribution