Package net.maizegenetics.stats.statistics

Classes with useful for statistics (normal distribution, Gamma distribution, chi-square distribution, exponential distribution, likelihood-ratio test, chi-square test, descriptive statistics, bootstrap estimators etc.)

See: Description

Class Summary

Class	Description
ApproxFastChiSquareDistribution	chi-square distribution (distribution of sum of squares of n uniform random variables) (Parameter: n; mean: n; variance: 2*n) The chi-square distribution is a special case of the Gamma distribution (shape parameter = n/2.0, scale = 2.0).
ChiSquareDistribution	chi-square distribution (distribution of sum of squares of n uniform random variables) (Parameter: n; mean: n; variance: 2*n) The chi-square distribution is a special case of the Gamma distribution (shape parameter = n/2.0, scale = 2.0).
ChiSquareTest	chi-square test
ContigencyTable	Class for permuting contigency tables and determining the likelihood of the table.
ExponentialDistribution	exponential distribution.
FisherExact	This does a Fisher Exact test.
GammaDistribution	gamma distribution.
LikelihoodRatioTest	Likelihood ratio test based on chi-square statistics
NormalDistribution	normal distribution (pdf, cdf, quantile)
ParetoDistribution	Pareto distribution (scale-free distribution without characteristic length scale).
PenalizedLikelihood	Penalized likelihood criteria

Package net.maizegenetics.stats.statistics Description

Classes with useful for statistics (normal distribution, Gamma distribution, chi-square distribution, exponential distribution, likelihood-ratio test, chi-square test, descriptive statistics, bootstrap estimators etc.)