Add Stats and Probability to .NET/COM/WS Apps
Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Screening, Correlation and Linear Regression functionality to your. NET, COM, and XML Web service Applications.
Statistics Module
Incorporates topic from data presentation (incl. standard, comparative and cumulative frequency tables), Basic Statistics (incl. measure of centrality, dispersion and relative location) and Arranged Data (incl. Sample Lead to, Variance and Standard Deviation
Discrete Probability Module
Encapsulates the probabilistic study of finite set of events (i. e. discrete probability) and experiments having a finite quantity of outcomes (i. e. discrete random variables). Including: probability measures, union/intersection legislation, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable.
Correlation and Regression Module
Allows the user to investigate associations between two variables. These finding can be used to predict one variable from the given ideals of other variables. All of us cover linear (Spearmans, t-test, z-transform) and rank (Spearmans, Kendalls) 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, Standard, Hypergeometric, Weibull and Exponential probability distributions. The PDF, CPDF and inverse, lead to, variance, Skewness and Kurtosis, 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 show measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such because the R-Squared measure and T-Test statistic.
Confidence Time periods and Hypothesis Testing Module
Presents two aspects of inferential statistics known while confidence intervals and hypothesis testing.
This product also offers the following technology elements:
3-in-1:. NET, COM, and XML Web services -- 3 DLLs, 3 API Docs,...
Extensive Client Good examples (C#, VB, C,... )
ADO Mediator
Compatible Containers (VS, VS. NET, Office, C Builder, Delphi)
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WebCab Probability and Stat for .NET
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