 |
| Author: |
WebCab Components |
| File Size: |
20129K |
| Language: |
English |
| Licence: |
Demo |
| Update: |
2006-09-12 00:04:25.000 |
| OS: |
Win98,Windows2000,WinXP,Windows2003,Unix,Linux |
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Introduction:
EJB Suite offers functionality from fundamental Statistics,Discrete chance,model Probability Distributions,supposition Testing,Correlation and elongate Regression.
Statistics Module
The Statistics mental faculty incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets.This mental faculty incorporates weighted averages,geometric medium,Inter-Quartile limit,mean and model deviation,sample variance and the force of variation.
Discrete Probability Module
The Discrete Probability mental faculty encapsulates the foundations of discrete probability and discrete probability distributions.This ingredient includes the addition law,conditional chance,cumulative distribution rite,mean and variance of a statistical distribution,expected values,covariance and simplification of expressions involving irregular variables.
Correlation and Regression Module
Allows the user to review relationships between two variables.These finding receptacle be used to predict one variable from the given values of other variables.We cover elongate (Spearman''s,t-test,z-transform) and offensive (Spearman''s,Kendall''s) correlative,linear regression and conditional means.
Standard Probability Distributions Module
This mental faculty assists in the development of applications that incorporate the Binomial,Poisson,standard,Lognormal,Pareto,outfit,Hypergeometric and Exponential chance distributions.The probability denseness function,cumulative statistical distribution function and inverse,medium,variance,Skewness and Kurtosis are implemented where appropriate and/or proposition approximations for each distribution.We also submit methods which randomly generate numbers from a given distribution.
Curve Fitting ModuleThe Curve Fitting mental faculty 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
Download StatisticsJ2EEDemo-win.exe now! |