batchmeans.m | Estimates the expected steady-state value and 95 confidence interval for a random walk using the batch means method. |

chi2eq.m | Equidistribution test for Matlab's uniform random number generator via a chi-squared test. |

covmethod.m | Example of the covariance method, providing a point estimate and 95 percent confidence, using the random walk sampler. Uses xcov.m (signal processing toolbox) to compute the cross-covariances. |

empcdfr.m | Computes upper and lower 90 percent confidence curves for the cdf of a standard exponential distribution, based on a random sample. |

KDE (directory) | Kernel density estimation techniques, including least squares cross-validation and an improved plug-in method. |

kolsmir.m | Applies the Kolmogorov-Smirnov test to logistic data that has been corrupted by noise. |

mcint.m | Estimates the value of an integral via crude Monte Carlo, with 95 percent confidence interval. |

qqplotex.m | Example of normal q-q plots for iid samples from the gamma distribution, with varying shape parameters and sample sizes. |

regenmeth.m | Estimates the expected steady-state value and 95 confidence interval for a random walk using the regenerative method. |

resampratio.m | Comparison between bootstrap resampling and the delta method for determining confidence intervals for ratio estimates. Uses dct1d.m, fixed_point.m, kde.m, and idct1d.m from the KDE folder. |

stateda.m | Visualizing gamma data via a histogram, density plot, empirical cdf, and scatter plot. Uses ksdensity.m (statistics toolbox). |

stateda2.m | Summarizing gamma data via common functions. |

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