Extreme Optimization Statistics Library for .NET 1.0

Descriptive Statistics - Measures of central tendency: mean, median, trimmed mean, harmonic mean, geometric mean. - Measures of scale: variance, standard deviation, range, interquartile range, absolute deviation from mean and median. - Higher moments: skewness, kurtosis. Probability Distributions - Probability density function (PDF). - Cumulative distribution function (CDF). - Percentile or inverse cumulative distribution function. - Moments: mean, variance, skewness and kurtosis. - Generate random samples from any distribution. Continuous Probability Distributions - Beta distribution. - Cauchy distribution. - Chi-squared distribution. - Erlang distribution. - Exponential distribution. - F distribution. - Gamma distribution. - Gumbel distribution. - Laplace distribution. - Logistic distribution. - Lognormal distribution. - Normal distribution. - Pareto distribution. - Rayleigh distribution. - Student t distribution. - Triangular distribution. - Uniform distribution. - Weibull distribution. Discrete Probability Distributions - Bernoulli distribution. - Binomial distribution. - Geometric distribution. - Hypergeometric distribution. - Negative binomial distribution. - Poisson distribution. - Uniform distribution. Histograms - One-dimensional histograms. - Probability distribution associated with a histogram. Statistical tests - Tests for the mean: one sample z-test, one sample t-test. - Paired and unpaired two-sample t test for the difference between two sample means. - One sample chi-squared test for variance. - F-test for the ratio of two variances. - One and two sample Kolmogorov-Smirnov test. - Anderson-Darling test for normality. - Chi-squared goodness-of-fit test. - Bartlett and Levene tests for homogeneity of variances. General Linear Model - Infrastructure for General Linear Model and Generalized Linear Model calculations. - Analysis of variance. - Regression.