::Free Statistics and Forecasting Software::

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.

Wessa.net offers these software applications free of charge:

Descriptive Statistics Software	This collection of Free Statistics Calculators offers a wide range of descriptive and explorative types of statistical measures and analysis: Central Tendency, Average, Mean, Median, Variability, Interquartile Range, Concentration, Lorenz Curve, Gini Coefficient, Skewness, Kurtosis, Quartiles, Percentiles, Notched Boxplot, Histogram, Correlation, Partial Correlation, Rank Correlation (Spearman and Kendall), Simple Regression, Kernel Density Estimation, Harrell-Davis Quantiles, Bivariate KDE, Correlation Matrix, Stem-and-leaf plot, Explorative Data Analysis
Regression Software	This is a collection of Regression-based types of analysis for single and multiple equations: Multiple Regression Equations, Bias-Reduced Logistic Regression (Firth method), Recursive Partitioning (Classification & Regression Trees), Variance-based Structural Equation Modeling (Partial Least Squares - Path Modeling).
Statistical Distributions	Features Random Number Generators, PPCC Plots (incl. Tukey lambda), and Statistical Distribution Fitting Modules (Maximum Likelihood) for a series of important distributions: Beta, Inverted Beta, Cauchy 1, Cauchy (2 parameters), Chi, Chi Square (1 parameter), Chi Square (2 parameters), Erlang, Exponential, Fisher F, Gamma, Inverted Gamma, Gumbel, Laplace, Logistic, Lognormal, Normal, Pareto, Power, Rayleigh, r-Distribution, Rectangular (Uniform), Student t, Triangular, and Weibull.
Statistical Hypothesis Testing Software	Offers statistical testing of a variety of hypotheses: Population Mean, Mean (critical value, p-value, type II error, sample size), Skewness/Kurtosis, Quasi Random-Walk
Time Series Analysis (R modules)	Performs Univariate Box-Jenkins ARIMA modeling, forecasting, and residual model checking. In future this module will replace the old versions based on C code.
Statistics Education at Simon Fraser University	This section contains various types of Statistics Software for Statistics Education that have been created by Larry Weldon at Simon Fraser University, Vancouver, Canada.
Statistics Education at Aston University	This section contains various types of Statistics Software for Statistics Education that have been created by Ian Holliday at Aston University, Birmingham, UK.
Mathematical Equation Plotter	Plots mathematical equations, statistical distributions, derived functions, cumulative functions, and apply numerical integration. Equations can be formulated in algebraic form, for instance: y=exp(a*sin(x)+b). The equation is sent through an interpreter and the analysis and equation chart is generated (in .png format).
Time Series Database	Use this Database to gain access to thousands of time series about financial markets. Note: this application is also available from within our Scientific Forecasting Software.
R modules	Anyone can create, maintain, and publish R-based modules (subject to editorial acceptance) and make them freely available within the Wessa.net framework.
Multiple Regression Software (C module)	Performs Multiple Regression Equation Modeling with the following features: Ordinary Least Squares Estimation, Heteroskedasticity tests, Autocorrelation tests, Misspecification tests, Multicollinearity tests, Regression Charts, ANOVA tables, Goodness of Fit, and much more. Several types of regression will be available in future.
Scientific Forecasting Software (C modules)	Performs Univariate Box-Jenkins ARIMA modeling, forecasting, and various bootstrap simulation methods for the estimation of financial profit density functions according to the following strategies: Buy&Hold, Alexander's Filterrule, truncated Koyck lag-based MACD. Various types of time series analysis tools are available: (Partial) Auto Correlation Function, Spectral Analysis, Variance Reduction Matrix, Standard Deviation-Mean Plot, trimmed Skewness & Kurtosis, suspended rootogram displays, percentiles, concentration, histograms, foreward & backward running autocorrelation, ARMA parameter estimation, and much more.
Sample Size Software	(sample size, sample accuracy, confidence interval)
Factor Analysis	(Factor Analysis, Principal Components)
Clustering Software	(Agglomerative Nesting, Hierarchical Clustering)
Reproducible Examples	This module provides access to interesting examples that have been published in articles or textbooks together with all the data and statistical software that is needed to reproduce them. All software is readily available online, and the source code of the underlying analysis can be viewed after successful completion.
Financial Calculators	(currency decimal, currency fraction, present value, future value, Black-Scholes option prices, interest payment, principal payment, number of periods, effective interest, nominal interest, Quasi Random-Walk identification, trading performance statistics, etc...)

To cite Wessa.net in publications use:
Wessa, P. (2010), Free Statistics Software, Office for Research Development and Education,
version 1.1.23-r6, URL http://www.wessa.net/

© Resa R&D, and the 'Office for Research, Development, and Education' - All rights reserved. Academic license for non-commercial use only.
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Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, Resa R&D makes no warranties or representations as to the accuracy or completeness of such information (or software), and it assumes no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall Resa R&D be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

Software Version : 1.1.23-r6
Algorithms & Software : Patrick Wessa, PhD
Facilities : Resa R&D - Office for Research, Development, and Education
Server : www.wessa.net

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