Download WebCab Probability and Stat for .NET 3.6

About WebCab Probability and Stat for .NET

Add Statistic, Discrete Probability, Standard Probability Distribution, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.

Statistics ModuleIncorporates 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 ModuleEncapsulates 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 measure, union/intersection law, conditionals/complementary probability; cumulative distribution function, mean/variance/expected return of Random Variable.

Correlation and Regression ModuleAllows 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', t-test, z-transform) and rank (Spearman', Kendall's) correlation, linear regression and conditional means.

Standard Probability Distributions ModuleThis 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 Kurtosi, random number generators are implemented where appropriate and/or their approximations.

Curve Fitting Module The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such as the R-Squared measure and T-Test statistic.

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

This product also has the following technology aspects:

• In-1: .NET, COM, and XML Web services - 3 DLL, 3 API Doc, ...

System requirements: