Found in titles:
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Python: distribution [100%] (library)
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DMelt: smile.stat.distribution.Distribution [70%] (Java API)
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DMelt: org.opengis.metadata.distribution.Distribution [61%] (Java API)
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DMelt: org.apache.commons.math.distribution.Distribution [53%] (Java API)
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Wiki: DMelt:Statistics/2.Distribution.Functions
[50%] (in title)
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DMelt: ij.plugin.Distribution [50%] (Java API)
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DMelt: javanpst.distributions.common.Distribution [50%] (Java API)
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DMelt: jsat.distributions.Distribution [50%] (Java API)
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DMelt: smile.stat.distribution.AbstractDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.AbstractMultivariateDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.BIC [50%] (Java API)
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DMelt: smile.stat.distribution.BernoulliDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.BetaDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.BinomialDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.ChiSquareDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.DiscreteDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.DiscreteExponentialFamily [50%] (Java API)
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DMelt: smile.stat.distribution.DiscreteExponentialFamilyMixture [50%] (Java API)
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DMelt: smile.stat.distribution.DiscreteMixture [50%] (Java API)
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DMelt: smile.stat.distribution.EmpiricalDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.ExponentialDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.ExponentialFamily [50%] (Java API)
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DMelt: smile.stat.distribution.ExponentialFamilyMixture [50%] (Java API)
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DMelt: smile.stat.distribution.FDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.GammaDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.GaussianDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.GaussianMixture [50%] (Java API)
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DMelt: smile.stat.distribution.GeometricDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.HyperGeometricDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.KernelDensity [50%] (Java API)
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DMelt: smile.stat.distribution.LogNormalDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.LogisticDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.Mixture [50%] (Java API)
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DMelt: smile.stat.distribution.MultivariateDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.MultivariateExponentialFamily [50%] (Java API)
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DMelt: smile.stat.distribution.MultivariateExponentialFamilyMixture [50%] (Java API)
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DMelt: smile.stat.distribution.MultivariateGaussianDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.MultivariateGaussianMixture [50%] (Java API)
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DMelt: smile.stat.distribution.MultivariateMixture [50%] (Java API)
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DMelt: smile.stat.distribution.NegativeBinomialDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.PoissonDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.ShiftedGeometricDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.TDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.WeibullDistribution [50%] (Java API)
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DMelt: smile.stat.distribution.package-frame [50%] (Java API)
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DMelt: smile.stat.distribution.package-summary [50%] (Java API)
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DMelt: jhplot.math.num.pdf.Distribution [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.DigitalTransferOptions [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.Distributor [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.Format [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.Medium [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.MediumFormat [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.MediumName [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.StandardOrderProcess [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.package-frame [43%] (Java API)
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DMelt: org.opengis.metadata.distribution.package-summary [43%] (Java API)
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DMelt: smile.demo.stat.distribution.BernoulliDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.BetaDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.BinomialDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.ChiSquareDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.EmpiricalDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.ExponentialDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.ExponentialFamilyMixtureDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.FDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.GammaDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.GaussianDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.GaussianMixtureDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.GeometricDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.HyperGeometricDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.LogNormalDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.LogisticDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.MultivariateGaussianDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.MultivariateGaussianMixtureDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.NegativeBinomialDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.PoissonDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.ShiftedGeometricDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.TDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.WeibullDistributionDemo [43%] (Java API)
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DMelt: smile.demo.stat.distribution.package-frame [43%] (Java API)
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DMelt: smile.demo.stat.distribution.package-summary [43%] (Java API)
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DMelt: smile.stat.distribution.DiscreteMixture.Component [43%] (Java API)
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DMelt: smile.stat.distribution.Mixture.Component [43%] (Java API)
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DMelt: smile.stat.distribution.MultivariateMixture.Component [43%] (Java API)
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DMelt: umontreal.iro.lecuyer.probdist.Distribution [43%] (Java API)
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DMelt: weka.classifiers.trees.j48.Distribution [43%] (Java API)
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Jython Example: stat_moments.py [37%] Calculations of moments of a statistical distribution
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Jython Example: stat_factorial_moments.py [37%] Calculations of factorial moments of a distribution
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Jython Example: stat_beta_pdf.py [37%] Density distribution of Cauchy function
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DMelt: net.sourceforge.plantuml.hector2.mpos.Distribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.AbstractContinuousDistribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.AbstractDistribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.AbstractIntegerDistribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.BetaDistribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.BetaDistributionImpl [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.BinomialDistribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.BinomialDistributionImpl [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.CauchyDistribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.CauchyDistributionImpl [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.ChiSquaredDistribution [37%] (Java API)
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DMelt: org.apache.commons.math.distribution.ChiSquaredDistributionImpl [37%] (Java API)
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Octave/Matlab Example: stat_plot.m [31%] Draw areas under the normal distribution
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Jython Example: stat_random_sample.py [31%] Random distribution according to a analysic function
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Jython Example: stat_sdeviation.py [31%] Calculate the standard deviation of a normal distribution
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Jython Example: fit_negativebinomial.py [25%] Fitting negative-binomial distribution wth analytic function
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Jython Example: stat_conf_interval.py [25%] Confidence interval for means with unknown standard deviation using the Student t distribution.
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Jython Example: signal_gamma2.py [25%] Two shifted gamma distribution with lines seprated by constant value
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