WebCab Probability and Stat for .NET
Details
| Size: | 5.87MB |
| Last Update: | 2007-12-03 11:51:20 |
| Version: | 3.6 |
| OS Support: | Win98,Windows2000,WinXP,Windows2003 |
| License/Program Type: | Demo |
| Publisher: | WebCab Components |
| Price: | $179.00 |
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 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 DeviationDiscrete 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
measures, union/intersection law, conditionals/complementary
probability; cumulative distribution functions,
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's, t-test, z-transform) and rank (Spearman's,
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 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
ModulePresents 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 (C, VB,
C++,...)ADO MediatorCompatible Containers (VS, VS.NET, Office,
C++Builder, Delphi)System requirements:.NET Framework v1.x (or
higher)
Awarded High Quality program
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