Best distributions software for free download

Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
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Use this unique probability distribution calculation toolbox featuring 11 continuous and 4 discrete functions to plot graph and find values for probability density, cumulative distribution (CDF), survival and Hazard functions. Download for FREE!
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Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.

Statistics Module
Incorporates topic from data presentation (incl. standard, relative and cumulative frequency tables), Basic Statistics (incl. measure of centrality, dispersion and relative location) and Grouped Data (incl. Sample Mean, Variance and Standard Deviation

Discrete Probability Module
Encapsulates the probabilistic study of finite set of events (i.e. discrete probability) and experiments with a finite number of outcomes (i.e. discrete random variables). Including: probability measures, union/intersection law, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable.

Correlation and Regression Module
Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.

Standard Probability Distributions Module
This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric,Weibull and Exponential probability distributions. The PDF, CPDF and inverse, mean, variance, Skewness and Kurtosis, random number generators are implemented where appropriate and/or their approximations.

Confidence Intervals and Hypothesis Testing Module
Presents two aspects of inferential statistics known as confidence intervals and hypothesis testing.

This product also has the following technology aspects:

3-in-1: .NET, COM, and XML Web services - 3 DLLs, 3 API Docs,...
Extensive Client Examples (C#, VB, C++,...)
ADO Mediator
Compatible Containers (VS, VS.NET, Office, C++Builder, Delphi)

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StatAssist displays graphs and related properties of more than 40 probability distributions. This application will save you time and prevent calculation errors if your work or study involves the use of continuous or discrete distributions. It allows to quickly select a distribution of interest, specify parameter values, and view the graphs - probability density, cumulative probability, survival, hazard, and cumulative hazard. You can easily export the results to various formats, or print them.

With StatAssist, you don't need complex statistical tables - it calculates moments, quantiles, and tail probabilities as you modify distribution parameters. In addition, it includes an efficient random number generator, a visual distribution gallery, and a comprehensive on-line documentation.

Supported distribution properties: min, max, mode, mean, variance, standard deviation, coef. of variation, skewness, and kurtosis.

Supported distributions: Bernoulli, Beta, Binomial, Cauchy (Lorentz), Chi-Squared, Discrete Uniform, Erlang, Error Function, Exponential, F Distribution, Fatigue Life (Birnbaum-Saunders), Frechet, Gamma, Generalized Extreme Value (GEV), Generalized Logistic, Generalized Pareto, Geometric, Gumbel Max, Gumbel Min, Hypergeometric, Inverse Gaussian, Johnson SB, Johnson SU, Laplace (Double Exponential), Logarithmic, Logistic, Lognormal, Negative Binomial, Normal, Pareto, Pert, Phased Bi-Exponential, Phased Bi-Weibull, Poisson, Power Function, Rayleigh, Student's t, Triangular, Uniform, Wakeby, Weibull.
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Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression.

Statistics Module
The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.

Discrete Probability Module
The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.

Correlation and Regression Module
Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.

Standard Probability Distributions Module
This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly generate numbers from a given distribution.

Confidence Intervals and Hypothesis Testing Module
Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.
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AMS Enterprise is more than just a mass mailer - it's a powerful tool for targeted e-mail marketing. The program allows you to organize and fully automate all mailing list management tasks. Beginning with the creation and processing of 100% legitimate recipient lists, the program will guide you through composing highly personalized commercial messages, the e-mail distribution process, and an analysis of the advertisement campaign efficiency.

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EasyFit allows to easily and quickly select the probability distribution which best fits to data, reducing your analysis times by 70-95% over manual methods. It includes numerous features designed to save you time, prevent analysis errors, and help you make better decisions.

An integrated environment provided by EasyFit includes data management, analysis, and reporting capabilities ensuring the high quality of your projects. It is very easy to learn and use - requires only a basic knowledge of statistics, so you can master it in a day or two.

The key feature of EasyFit is the ability to automatically fit over 40 distributions to sample data. Advanced users can also apply the flexible manual fitting capability. After the distributions are fitted, they are ranked accordingly to the goodness of fit tests (Kolmogorov-Smirnov, Anderson-Darling, Chi-Squared) allowing you to select the best model.

A variety of high-quality graphs (probability density, cumulative probability, survival, hazard, P-P plot etc.) can be used to visually compare the fitted distributions and make sure you have chosen the most valid one. Finally, you can apply the integrated StatAssist tool to get a comprehensive information (moments, quantiles, probabilities) on the selected distribution.

Additional features include hypertext reports, random number generator, and visual distribution gallery.

Distributions: Bernoulli, Beta, Binomial, Cauchy (Lorentz), Chi-Squared, Discrete Uniform, Erlang, Error Function, Exponential, F Distribution, Fatigue Life (Birnbaum-Saunders), Frechet, Gamma, Generalized Extreme Value (GEV), Generalized Logistic, Generalized Pareto, Geometric, Gumbel, Hypergeometric, Inverse Gaussian, Johnson SB, Johnson SU, Laplace (Double Exponential), Logarithmic, Logistic, Lognormal, Negative Binomial, Normal, Pareto, Pert, Phased Bi-Exponential, Phased Bi-Weibull, Poisson, Power Function, Rayleigh, Student's t, Triangular, Uniform, Wakeby, Weibull.
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