Found in titles:
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Python: stat [100%] (library)
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DMelt: cern.jet.stat.Buffer [50%] (Java API)
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DMelt: cern.jet.stat.BufferSet [50%] (Java API)
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DMelt: cern.jet.stat.Descriptive [50%] (Java API)
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DMelt: cern.jet.stat.Gamma [50%] (Java API)
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DMelt: cern.jet.stat.Probability [50%] (Java API)
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DMelt: cern.jet.stat.Utils [50%] (Java API)
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DMelt: cern.jet.stat.package-frame [50%] (Java API)
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DMelt: cern.jet.stat.package-summary [50%] (Java API)
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DMelt: flanagan.analysis.Stat [50%] (Java API)
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DMelt: jhplot.stat.Anova [50%] (Java API)
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DMelt: jhplot.stat.BunchingParameters [50%] (Java API)
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DMelt: jhplot.stat.Entropy [50%] (Java API)
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DMelt: jhplot.stat.FactorialMoments [50%] (Java API)
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DMelt: jhplot.stat.Interpolator [50%] (Java API)
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DMelt: jhplot.stat.Interpolator.Cubic [50%] (Java API)
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DMelt: jhplot.stat.JointProbabilityState [50%] (Java API)
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DMelt: jhplot.stat.LinReg [50%] (Java API)
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DMelt: jhplot.stat.LinRegWeighted [50%] (Java API)
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DMelt: jhplot.stat.MutualInformation [50%] (Java API)
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DMelt: jhplot.stat.PCA [50%] (Java API)
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DMelt: jhplot.stat.ProbabilityState [50%] (Java API)
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DMelt: jhplot.stat.StatShape [50%] (Java API)
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DMelt: jhplot.stat.Statistics [50%] (Java API)
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DMelt: jhplot.stat.package-frame [50%] (Java API)
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DMelt: jhplot.stat.package-summary [50%] (Java API)
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DMelt: jhpro.stat.CLimits [50%] (Java API)
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DMelt: jhpro.stat.ConfInterval [50%] (Java API)
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DMelt: jhpro.stat.ConfidenceLevel [50%] (Java API)
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DMelt: jhpro.stat.DataKeeper [50%] (Java API)
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DMelt: jhpro.stat.DataSource [50%] (Java API)
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DMelt: jhpro.stat.EEcentricity [50%] (Java API)
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DMelt: jhpro.stat.Moments [50%] (Java API)
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DMelt: jhpro.stat.MomentsFac [50%] (Java API)
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DMelt: jhpro.stat.MomentsFacNorm [50%] (Java API)
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DMelt: jhpro.stat.MomentsNorm [50%] (Java API)
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DMelt: jhpro.stat.StatUtils [50%] (Java API)
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DMelt: jhpro.stat.limit.ExpData [50%] (Java API)
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DMelt: jhpro.stat.limit.LimitCalculator [50%] (Java API)
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DMelt: jhpro.stat.limit.LimitCalculatorGui [50%] (Java API)
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DMelt: jhpro.stat.limit.StatConfidence [50%] (Java API)
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DMelt: jhpro.stat.limit.package-frame [50%] (Java API)
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DMelt: jhpro.stat.limit.package-summary [50%] (Java API)
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DMelt: jhpro.stat.package-frame [50%] (Java API)
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DMelt: jhpro.stat.package-summary [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.Distribution [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: smile.stat.hypothesis.ChiSqTest [50%] (Java API)
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DMelt: smile.stat.hypothesis.CorTest [50%] (Java API)
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DMelt: smile.stat.hypothesis.FTest [50%] (Java API)
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DMelt: smile.stat.hypothesis.KSTest [50%] (Java API)
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DMelt: smile.stat.hypothesis.TTest [50%] (Java API)
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DMelt: smile.stat.hypothesis.package-frame [50%] (Java API)
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DMelt: smile.stat.hypothesis.package-summary [50%] (Java API)
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DMelt: cern.jet.stat.quantile.DoubleQuantileFinder [43%] (Java API)
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DMelt: cern.jet.stat.quantile.EquiDepthHistogram [43%] (Java API)
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DMelt: cern.jet.stat.quantile.Quantile1Test [43%] (Java API)
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DMelt: cern.jet.stat.quantile.QuantileFinderFactory [43%] (Java API)
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DMelt: cern.jet.stat.quantile.package-frame [43%] (Java API)
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DMelt: cern.jet.stat.quantile.package-summary [43%] (Java API)
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DMelt: cern.jet.stat.tdouble.DoubleDescriptive [43%] (Java API)
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DMelt: cern.jet.stat.tdouble.Gamma [43%] (Java API)
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DMelt: cern.jet.stat.tdouble.Probability [43%] (Java API)
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Jython Example: stat_distributions.py [37%] Verious random distributions
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Octave/Matlab Example: stat_corr.m [37%] Covariance calculations and correlations
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Jython Example: stat_histo.py [37%] statistical characteristions on an array
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Jython Example: stat_limits_exclusion_sys2.py [35%] Computation of 95 % C.L. limits using stat. and systematical errors
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Jython Example: stat_limits_exclusion_sys0.py [35%] Computation of 95 % C.L. limits using stat. and systematical errors
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Jython Example: stat_limits_exclusion_lnq.py [35%] Computation of 95 % C.L. limits with stat. errors
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Jython Example: stat_moments.py [31%] Calculations of moments of a statistical distribution
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Jython Example: stat_pca.py [31%] Principle component analysis (PCA)
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Jython Example: stat_statlimit_calculator.py [31%] Statistical limit calculator
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Octave/Matlab Example: stat_plot.m [31%] Draw areas under the normal distribution
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Jython Example: stat_smoothing_spline.py [31%] Data smoothing (interpolation), Cubic and SPline
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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_statlimit.py [31%] Statistical limits in presence of background
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Jython Example: stat_smoothing.py [31%] Loess (Lowess) smoothing of a histogram
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Jython Example: stat_statshape.py [31%] Identification of 2D shapes in data
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Jython Example: stat_factorial_moments.py [31%] Calculations of factorial moments of a distribution
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Jython Example: stat_pca_matrix.py [31%] Principle component analysis (PCA) on a matrix
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Jython Example: stat_alpha_pdf.py [31%] Plottinting two Gamma functions
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Jython Example: stat_compare_p0d.py [31%] Statistical comparison of two one-dimensional arrays
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Jython Example: stat_sdeviation.py [31%] Calculate the standard deviation of a normal distribution
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Jython Example: stat_nfm.py [31%] Calculations of normalised factorial moments of several distributions
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Jython Example: stat_beta_pdf.py [31%] Density distribution of Cauchy function
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Jython Example: stat_statlimit_multy.py [31%] Statistical limits in presence of background
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Octave/Matlab Example: stat_desc.m [31%] Descriptive statistics using Octave language
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Jython Example: stat_smoothing_data.py [31%] Loess (Lowess) smoothing of data
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Jython Example: stat_comparisons.py [25%] Statistical comparisons. Kolmogorov Smirnov (KS), Anderson-Darling, Goodman
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Jython Example: stat_poly_regression.py [25%] Polynomial regression example. It shows PolySolve generator to fit X-Y data.
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Jython Example: stat_limits_exclusion.py [25%] Computation of 95% CL limits with treatment of statistical errors
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Jython Example: stat_random_convolute.py [25%] Convolution of 2 random distributionis (Gamma with Poisson)
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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: stat_limits_discovery.py [25%] Computation of 95 % CL limits with statistical errors
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Jython Example: stat_normalized_moments.py [25%] Calculations of normalised factorial moments of several distributions
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Jython Example: stat_eecentricity.py [25%] Calculate eecentricity using a principle component analysis (PCA)
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Jython Example: stat_limits_discovery_sys1.py [25%] Computation of 95 % C.L. limits using systematic errors
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Jython Example: stat_compare_h1d.py [25%] Statistical comparison of two histograms (chi2, p-values)
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