::Free Statistics and Forecasting Software::

v1.2.1

:: Free Statistics Software (Calculator) - Web-enabled scientific services & applications ::

All rights reserved. The non-commercial (academic) use of this software is free of charge. The only thing that is asked in return is to cite this software when results are used in publications.

Here you find a collection of Free Software modules (Calculators) for the purpose of Random Number Generation and Statistical Distribution Fitting. The modules have been grouped in Univariate, Bivariate, and Multivariate categories.

 Main Menu return to Main Menu Univariate Statistical Distributions Random Number Generator - Normal Distribution Generates random numbers for the Normal distribution. Maximum-likelihood Fitting - Normal Distribution Maximum-likelihood Fitting of the Normal Distribution for any univariate data series. This includes the Normal QQ Plot and Histogram with the curve of the fitted normal distribution. CDF Normal computes the cumulative probability of the Normal Distribution for a given value (quantile), mean, and standard deviation Random Number Generator - Log-Normal Distribution Generates random numbers for the Log-Normal distribution and estimates the parameters. It is illustrated that the estimated mean and standard deviation is normally distributed. Maximum-likelihood Fitting - Beta Distribution computes the shape and rate parameter of the Beta distribution and the PPCC Contour Plot Maximum-likelihood Fitting - Cauchy Distribution computes the location and scale parameter of the Cauchy distribution Maximum-likelihood Fitting - Exponential Distribution computes the rate parameter of the Exponential distribution Maximum-likelihood Fitting - Gamma Distribution computes the shape and rate parameter of the Gamma distribution and the PPCC Plot Maximum-likelihood Fitting - Lognormal Distribution computes the meanlog and sdlog parameter of the Lognormal distribution and the PPCC Plot Maximum-likelihood Fitting - Logistic Distribution computes the location and scale parameter of the Logistic distribution Maximum-likelihood Fitting - Negative Binomial Distribution computes the size and mu parameter of the Negative Binomial distribution Maximum-likelihood Fitting - Poisson Distribution computes the lambda parameter of the Poisson distribution Maximum-likelihood Fitting - Weibull Distribution computes the shape and scale parameter of the Weibull distribution and the PPCC Plot Tukey lambda PPCC Plot computes the Tukey lambda PPCC Plot Box-Cox Normality Plot computes the Box-Cox Normality Plot Area under Normal Density computes the area under the normal density for a given lower and upper value, mean, and standard deviation. Area under Binomial Density computes the area under the Binomial density. Skewness/Kurtosis Test D'Agostino skewness test, Anscombe-Glynn kurtosis test, Jarque-Bera Normality Test (against normality). Skewness-Kurtosis Plot Skewness-Kurtosis plot as proposed by Cullen and Frey (1999). Bivariate Statistical Distributions Multivariate Statistical Distributions
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