Class Mtrace_bootstrapKt

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    • Method Summary

      Modifier and Type Method Description
      final static BootstrapResults mtrace_bootstrap(DoubleArray interArrivalTimes, IntArray classLabels, Integer numBootstraps, Integer blockSize, Long seed) Performs bootstrap resampling on a multi-class trace to estimate confidence intervals and assess variability of trace statistics.
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        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

    • Method Detail

      • mtrace_bootstrap

         final static BootstrapResults mtrace_bootstrap(DoubleArray interArrivalTimes, IntArray classLabels, Integer numBootstraps, Integer blockSize, Long seed)

        Performs bootstrap resampling on a multi-class trace to estimate confidence intervals and assess variability of trace statistics.

        Parameters:
        interArrivalTimes - Array of inter-arrival times
        classLabels - Array of class labels
        numBootstraps - Number of bootstrap samples (default: 1000)
        blockSize - Size of blocks for block bootstrap (default: auto-determined)
        seed - Random seed for reproducibility
        Returns:

        Bootstrap results containing confidence intervals for key statistics