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| Category(s): | Business & Finance > Applications
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| Summary: | Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
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 (Delphi, C#, VB.NET)
ADO Mediator
Compatible Containers (Delphi 3-8 & 2005, C++Builder, Office) |
| | | | Publisher: | WebCab Components Limited |
| | | | Platform(s): | Win98,WinNT 4.x,Windows2000,WinXP,Windows2003 |
| | | | Requirements: | .NET Framework v1.x |
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| Language: |  | File size: | 5859 KB |
| | | | | | Our Rating: |  | Cost: | $ 179.00 |
| | | | | | | | Application
Description | | |
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 
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