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Programming / Delphi |
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WebCab Probability and Stat for Delphi 3.6 |
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| Author |
WebCab Components Limited |
| Date |
09/12/2006 |
| Size |
5859 KB |
| License |
Demo |
| Price |
US $179.00 |
| Platform |
Win98,WinNT 4.x,Windows2000,WinXP,Windows2003 |
| Installation |
Install and Uninstall |
| aFreeGo
Rating |
Not Rated |
| Downloads |
42 |
| User
Rating |
0.00 |
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Click image to enlarge
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| Minimum
Requirements |
.NET framework v1.x |
| Limitations |
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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 HypergeometricWeibull 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.
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 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 (Delphi C# VB.NET)
ADO Mediator
Compatible Containers (Delphi 3-8 & 2005 C++Builder Office)
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