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Symbolic Statistical Computing |
Building on Mathematica's unique symbolic architecture, Mathematica 6 introduces the powerful idea of fully integrated symbolic statistical computing. With all standard discrete and continuous distributions built in, Mathematica 6 makes it unprecedentedly easy to work with distributions, efficiently computing numerical and symbolic properties, as well as generating random numbers for simulation.
- All standard descriptive statistics built in for both data and statistical distributions. »
- 36 standard continuous and discrete distributions covering all standard areas. »
- Newly derived symbolic results for distribution properties using special functions.
- New highly efficient NKS-based random number generation algorithms. »
- RandomChoice and RandomSample functions for efficient sampling from finite sets.
- Random number generation from any specified symbolic distribution. »
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Related Functions
NormalDistribution 
ChiSquareDistribution StudentTDistribution LogNormalDistribution BetaDistribution ExtremeValueDistribution PoissonDistribution BinomialDistribution HypergeometricDistribution PDF CDF InverseCDF ExpectedValue Mean Variance StandardDeviation Median Quantile Skewness Kurtosis RandomReal RandomInteger RandomChoice
ChiSquareDistribution StudentTDistribution LogNormalDistribution BetaDistribution ExtremeValueDistribution PoissonDistribution BinomialDistribution HypergeometricDistribution PDF CDF InverseCDF ExpectedValue Mean Variance StandardDeviation Median Quantile Skewness Kurtosis RandomReal RandomInteger RandomChoiceMore About
See Also New In 6.0