Found in titles:
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DMelt: ec.Statistics [100%] (Java API)
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DMelt: org.jfree.data.statistics.Statistics [98%] (Java API)
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DMelt: org.jquantlib.math.statistics.Statistics [98%] (Java API)
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DMelt: de.erichseifert.gral.data.statistics.Statistics [84%] (Java API)
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DMelt: Catalano.Statistics.Analysis.PrincipalComponentAnalysis [80%] (Java API)
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DMelt: Catalano.Statistics.Analysis.package-frame [80%] (Java API)
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DMelt: Catalano.Statistics.Analysis.package-summary [80%] (Java API)
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DMelt: Catalano.Statistics.ContinuousHistogram [80%] (Java API)
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DMelt: Catalano.Statistics.Correlations [80%] (Java API)
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DMelt: Catalano.Statistics.DescriptiveStatistics [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.BernoulliDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.BinomialDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.CauchyDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.ChiSquareDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.ContinuousUniformDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.DiscreteUniformDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.EmpiricalDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.ExponentialDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.FisherDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.GammaDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.IDiscreteDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.IDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.InverseGammaDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.KolmogorovSmirnovDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.LaplaceDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.LognormalDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.NakagamiDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.NormalDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.ParetoDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.RayleighDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.TStudentDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.WeibullDistribution [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.package-frame [80%] (Java API)
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DMelt: Catalano.Statistics.Distributions.package-summary [80%] (Java API)
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DMelt: Catalano.Statistics.Histogram [80%] (Java API)
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DMelt: Catalano.Statistics.HistogramStatistics [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Additive [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Anova [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.BSpline [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Bessel [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Cauchy [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.ChiSquare [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Circular [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Dirichlet [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Gaussian [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Hellinger [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.HistogramIntersection [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Hypersecant [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.IMercerKernel [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.InverseMultiquadric [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Linear [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Log [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Multiquadric [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.NormalizedPolynomial [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Pearson [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Polynomial [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Power [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.RationalQuadratic [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Sigmoid [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Spherical [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Spline [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.SquaredSinc [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.SymmetricTriangle [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.TStudent [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Tensor [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.ThinPlateSpline [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.Wave [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.package-frame [80%] (Java API)
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DMelt: Catalano.Statistics.Kernels.package-summary [80%] (Java API)
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DMelt: Catalano.Statistics.Normalizations [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.ExponentialRegression [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.ILinear [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.ISimpleRegression [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.LinearRegression [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.LogarithmicRegression [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.PartialLeastSquaresRegression [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.PolynomialRegression [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.PowerRegression [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.RegressionAnalysis [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.package-frame [80%] (Java API)
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DMelt: Catalano.Statistics.Regression.package-summary [80%] (Java API)
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DMelt: Catalano.Statistics.Tools [80%] (Java API)
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DMelt: Catalano.Statistics.package-frame [80%] (Java API)
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DMelt: Catalano.Statistics.package-summary [80%] (Java API)
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DMelt: edu.rit.numeric.Statistics [80%] (Java API)
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DMelt: jas2.hist.Statistics [80%] (Java API)
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DMelt: jhplot.stat.Statistics [80%] (Java API)
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DMelt: mikera.util.Statistics [80%] (Java API)
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DMelt: org.jzy3d.maths.Statistics [80%] (Java API)
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DMelt: org.statcato.statistics.BasicStatistics [80%] (Java API)
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DMelt: org.statcato.statistics.BinomialProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.ChiSquareProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.CrossTabulation [80%] (Java API)
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DMelt: org.statcato.statistics.DiscreteCustomProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.DiscreteProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.ExponentialProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.FProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.GeometricProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.IntegerProbabilityDistribution [80%] (Java API)
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DMelt: org.statcato.statistics.NormalProbabilityDistribution [80%] (Java API)
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DataMelt API: ij.plugin.Stack_Statistics [100%] (Java API)
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Wiki: Tutorial:JMathLab/Statistics (Descriptive) [79%] (in title)
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Octave/Matlab Example: stat_desc.m [70%] Descriptive statistics using Octave language
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Wiki: Tutorial:JMathLab/Statistics (Data Fitting) [69%] (in title)
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Jython Example: stat_ecen1.py [59%] Calculation of eccentricity using PCA
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Jython Example: stat_regression2.py [59%] Linear regression example II
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Jython Example: histo_stat.py [59%] Statistical characteristics of a histogram
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Jython Example: stat_distributions.py [59%] Verious random distributions
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Jython Example: stat_test2.py [59%] Statistical tests. Friedman test
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Jython Example: stat_test1.py [59%] Statistical tests. VonNeumann test
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Octave/Matlab Example: stat_corr.m [59%] Covariance calculations and correlations
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Jython Example: stat_histo.py [59%] statistical characteristions on an array
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Jython Example: stat_moments.py [50%] Calculations of moments of a statistical distribution
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Jython Example: stat_pca.py [50%] Principle component analysis (PCA)
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Jython Example: stat_statlimit_calculator.py [50%] Statistical limit calculator
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Octave/Matlab Example: stat_plot.m [50%] Draw areas under the normal distribution
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Jython Example: stat_smoothing_spline.py [50%] Data smoothing (interpolation), Cubic and SPline
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Jython Example: stat_random_sample.py [50%] Random distribution according to a analysic function
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Jython Example: stat_statlimit.py [50%] Statistical limits in presence of background
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Jython Example: stat_smoothing.py [50%] Loess (Lowess) smoothing of a histogram
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Jython Example: stat_statshape.py [50%] Identification of 2D shapes in data
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Jython Example: stat_factorial_moments.py [50%] Calculations of factorial moments of a distribution
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Jython Example: stat_pca_matrix.py [50%] Principle component analysis (PCA) on a matrix
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Jython Example: normalit_tests.py [50%] Normality tests using Anderson-Darling method
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Jython Example: shapiro_wilk.py [50%] Normality test using Shapiro-Wilk method
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Jython Example: stat_alpha_pdf.py [50%] Plottinting two Gamma functions
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Jython Example: stat_compare_p0d.py [50%] Statistical comparison of two one-dimensional arrays
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Jython Example: stat_sdeviation.py [50%] Calculate the standard deviation of a normal distribution
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Jython Example: stat_nfm.py [50%] Calculations of normalised factorial moments of several distributions
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Jython Example: stat_beta_pdf.py [50%] Density distribution of Cauchy function
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Jython Example: stat_statlimit_multy.py [50%] Statistical limits in presence of background
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Jython Example: stat_smoothing_data.py [50%] Loess (Lowess) smoothing of data
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Jython Example: random_norma1.py [50%] Normal multivariate distributions defined by a covariance
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Jython Example: stat_regression1.py [50%] Linear regression example. Show predictions and confidence range
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Jython Example: signal_gamma1.py [50%] Show two reverse Gamma distributions with a shift
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Jython Example: spline_smoothing.py [50%] Using SplinePolynomial for data smoothing
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Jython Example: stat_limits_exclusion_sys2.py [39%] Computation of 95 % C.L. limits using stat. and systematical errors
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Jython Example: stat_comparisons.py [39%] Statistical comparisons. Kolmogorov Smirnov (KS), Anderson-Darling, Goodman
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Jython Example: stat_poly_regression.py [39%] Polynomial regression example. It shows PolySolve generator to fit X-Y data.
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Jython Example: stat_limits_exclusion.py [39%] Computation of 95% CL limits with treatment of statistical errors
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Jython Example: stat_random_convolute.py [39%] Convolution of 2 random distributionis (Gamma with Poisson)
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Jython Example: stat_conf_interval.py [39%] Confidence interval for means with unknown standard deviation using the Student t distribution.
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Jython Example: stat_limits_discovery.py [39%] Computation of 95 % CL limits with statistical errors
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Jython Example: stat_normalized_moments.py [39%] Calculations of normalised factorial moments of several distributions
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Jython Example: stat_eecentricity.py [39%] Calculate eecentricity using a principle component analysis (PCA)
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Jython Example: stat_limits_exclusion_sys0.py [39%] Computation of 95 % C.L. limits using stat. and systematical errors
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Jython Example: stat_limits_exclusion_lnq.py [39%] Computation of 95 % C.L. limits with stat. errors
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Jython Example: stat_chi2_p1d.py [39%] Chi2 comparison of X-Y points and a function (chi2, p-values)
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Jython Example: stat_limits_discovery_sys1.py [39%] Computation of 95 % C.L. limits using systematic errors
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Jython Example: stat_compare_h1d.py [39%] Statistical comparison of two histograms (chi2, p-values)
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Jython Example: signal_gamma2.py [39%] Two shifted gamma distribution with lines seprated by constant value
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Jython Example: exl_limits_scan.py [39%] Calculate exclusion limits at 95% confidence level
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