WebCab Probability and Stat (J2EE Ed.) 3.6
Statistics Module
The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.
Discrete Probability Module
The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.
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 and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly generate numbers from a given distribution.
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
Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.
AutoTRAX DEX is a powerful multiplatform integrated Electronic Design Suite for Electronic Engineers. It has all the features you expect and need to rapidly and easily take your design from conception through to production.
AutoTRAX EDA is a powerful multiplatform integrated Electronic Design Suite for Electronic Engineers. It has all the features you expect and need to rapidly and easily take your design from conception through to production.
FindGraph is a graphing, curve-fitting, and digitizing tool for engineers, scientists and business. Discover the model that best describes your data.
Feature rich and user friendly application for analysing array-experiments (e.g. from provider Affymetrix). It includes additional gene information, multiple analysis methods, automatic pathway mapping with an editor, function prediction...
This program visualizes pathways. The user can display any kind of quantitative data from gene and protein experiments directly within the pathways (colours represent the value). Automatic pathway update from KEGG, BioCarta and GenMAPP.