Probability Distributions

C# Probability Distributions 

NMath Stats from CenterSpace Software is a .NET class library that provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, and multivariate statistics.

NMath Stats provides classes for computing the probability density function (PDF), the cumulative distribution function (CDF), the inverse cumulative distribution function, and random variable moments for a variety of probability distributions, including beta, binomial, chi-square, exponential, F, gamma, geometric, logistic, log-normal, negative binomial, normal (Gaussian), Poisson, Student's t, triangular, and Weibull distributions. The distribution classes share a common interface, so once you learn how to use one distribution class, it's easy to use any of the others. This functionality can be used from any .NET language including VB.NET and F#.

The NMath Stats library is part of CenterSpace Software's NMath Suite of numerical libraries, which provides building blocks for mathematical, financial, engineering, and scientific applications on the .NET platform. Features include matrix and vector classes, linear algebra, random number generators, numerical integration methods, interpolation, statistics, biostatistics, multiple linear regression, analysis of variance (ANOVA), optimization, and object-oriented interfaces to public domain computing packages such as the BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage). All NMath routines are callable from any .NET language, including C#, Visual Basic.NET, and F#.

Probability Distribution Documentation

Complete documentation for all NMath libraries is available online. For more information on probability distributions, see the chapter on probability distributions in the NMath Stats User's Guide.

API documentation for distribution classes is avaliable in the NMath Stats Reference Guide, summarized in the table below.


.NET / C# / VB Class
Probability Distribution
Beta distribution
Binomial distribution
Chi-Square distribution
Exponential distribution
F distribution
Gamma distribution
Geometric distribution
Johnson system of distributions
Logistic distribution
Log-Normal distribution
Negative Binomial distribution
Normal (Gaussian) distribution
Poisson distribution
Student's t distribution
Triangular distribution
Uniform distribution
Weibull distribution


Probability Distribution Code Examples

All NMath libraries include extensive code examples in both C# and Visual Basic.NET. Studying these examples is one of the best ways to learn how to use NMath libraries. For more information on probability distributions, see:

  • ProbabilityDistributionExample [C#]  [VB.NET]
    Example showing how to use the probability distribution classes.


Try a Free Evaluation

If you are interested in evaluating the probability distribution classes in NMath, we offer a free trial version, for a 30-day evaluation period. This trial version is a fully featured distribution of NMath with no limitations. In only a few minutes you can be enjoying the power of NMath.

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