Found in titles:

  1. Python Python: stat [100%] (library)
  2. DataMelt DMelt: cern.jet.stat.Buffer [50%] (Java API)
  3. DataMelt DMelt: cern.jet.stat.BufferSet [50%] (Java API)
  4. DataMelt DMelt: cern.jet.stat.Descriptive [50%] (Java API)
  5. DataMelt DMelt: cern.jet.stat.Gamma [50%] (Java API)
  6. DataMelt DMelt: cern.jet.stat.Probability [50%] (Java API)
  7. DataMelt DMelt: cern.jet.stat.Utils [50%] (Java API)
  8. DataMelt DMelt: cern.jet.stat.package-frame [50%] (Java API)
  9. DataMelt DMelt: cern.jet.stat.package-summary [50%] (Java API)
  10. DataMelt DMelt: flanagan.analysis.Stat [50%] (Java API)
  11. DataMelt DMelt: jhplot.stat.Anova [50%] (Java API)
  12. DataMelt DMelt: jhplot.stat.BunchingParameters [50%] (Java API)
  13. DataMelt DMelt: jhplot.stat.Entropy [50%] (Java API)
  14. DataMelt DMelt: jhplot.stat.FactorialMoments [50%] (Java API)
  15. DataMelt DMelt: jhplot.stat.Interpolator [50%] (Java API)
  16. DataMelt DMelt: jhplot.stat.Interpolator.Cubic [50%] (Java API)
  17. DataMelt DMelt: jhplot.stat.JointProbabilityState [50%] (Java API)
  18. DataMelt DMelt: jhplot.stat.LinReg [50%] (Java API)
  19. DataMelt DMelt: jhplot.stat.LinRegWeighted [50%] (Java API)
  20. DataMelt DMelt: jhplot.stat.MutualInformation [50%] (Java API)
  21. DataMelt DMelt: jhplot.stat.PCA [50%] (Java API)
  22. DataMelt DMelt: jhplot.stat.ProbabilityState [50%] (Java API)
  23. DataMelt DMelt: jhplot.stat.StatShape [50%] (Java API)
  24. DataMelt DMelt: jhplot.stat.Statistics [50%] (Java API)
  25. DataMelt DMelt: jhplot.stat.package-frame [50%] (Java API)
  26. DataMelt DMelt: jhplot.stat.package-summary [50%] (Java API)
  27. DataMelt DMelt: jhpro.stat.CLimits [50%] (Java API)
  28. DataMelt DMelt: jhpro.stat.ConfInterval [50%] (Java API)
  29. DataMelt DMelt: jhpro.stat.ConfidenceLevel [50%] (Java API)
  30. DataMelt DMelt: jhpro.stat.DataKeeper [50%] (Java API)
  31. DataMelt DMelt: jhpro.stat.DataSource [50%] (Java API)
  32. DataMelt DMelt: jhpro.stat.EEcentricity [50%] (Java API)
  33. DataMelt DMelt: jhpro.stat.Moments [50%] (Java API)
  34. DataMelt DMelt: jhpro.stat.MomentsFac [50%] (Java API)
  35. DataMelt DMelt: jhpro.stat.MomentsFacNorm [50%] (Java API)
  36. DataMelt DMelt: jhpro.stat.MomentsNorm [50%] (Java API)
  37. DataMelt DMelt: jhpro.stat.StatUtils [50%] (Java API)
  38. DataMelt DMelt: jhpro.stat.limit.ExpData [50%] (Java API)
  39. DataMelt DMelt: jhpro.stat.limit.LimitCalculator [50%] (Java API)
  40. DataMelt DMelt: jhpro.stat.limit.LimitCalculatorGui [50%] (Java API)
  41. DataMelt DMelt: jhpro.stat.limit.StatConfidence [50%] (Java API)
  42. DataMelt DMelt: jhpro.stat.limit.package-frame [50%] (Java API)
  43. DataMelt DMelt: jhpro.stat.limit.package-summary [50%] (Java API)
  44. DataMelt DMelt: jhpro.stat.package-frame [50%] (Java API)
  45. DataMelt DMelt: jhpro.stat.package-summary [50%] (Java API)
  46. DataMelt DMelt: smile.stat.distribution.AbstractDistribution [50%] (Java API)
  47. DataMelt DMelt: smile.stat.distribution.AbstractMultivariateDistribution [50%] (Java API)
  48. DataMelt DMelt: smile.stat.distribution.BIC [50%] (Java API)
  49. DataMelt DMelt: smile.stat.distribution.BernoulliDistribution [50%] (Java API)
  50. DataMelt DMelt: smile.stat.distribution.BetaDistribution [50%] (Java API)
  51. DataMelt DMelt: smile.stat.distribution.BinomialDistribution [50%] (Java API)
  52. DataMelt DMelt: smile.stat.distribution.ChiSquareDistribution [50%] (Java API)
  53. DataMelt DMelt: smile.stat.distribution.DiscreteDistribution [50%] (Java API)
  54. DataMelt DMelt: smile.stat.distribution.DiscreteExponentialFamily [50%] (Java API)
  55. DataMelt DMelt: smile.stat.distribution.DiscreteExponentialFamilyMixture [50%] (Java API)
  56. DataMelt DMelt: smile.stat.distribution.DiscreteMixture [50%] (Java API)
  57. DataMelt DMelt: smile.stat.distribution.Distribution [50%] (Java API)
  58. DataMelt DMelt: smile.stat.distribution.EmpiricalDistribution [50%] (Java API)
  59. DataMelt DMelt: smile.stat.distribution.ExponentialDistribution [50%] (Java API)
  60. DataMelt DMelt: smile.stat.distribution.ExponentialFamily [50%] (Java API)
  61. DataMelt DMelt: smile.stat.distribution.ExponentialFamilyMixture [50%] (Java API)
  62. DataMelt DMelt: smile.stat.distribution.FDistribution [50%] (Java API)
  63. DataMelt DMelt: smile.stat.distribution.GammaDistribution [50%] (Java API)
  64. DataMelt DMelt: smile.stat.distribution.GaussianDistribution [50%] (Java API)
  65. DataMelt DMelt: smile.stat.distribution.GaussianMixture [50%] (Java API)
  66. DataMelt DMelt: smile.stat.distribution.GeometricDistribution [50%] (Java API)
  67. DataMelt DMelt: smile.stat.distribution.HyperGeometricDistribution [50%] (Java API)
  68. DataMelt DMelt: smile.stat.distribution.KernelDensity [50%] (Java API)
  69. DataMelt DMelt: smile.stat.distribution.LogNormalDistribution [50%] (Java API)
  70. DataMelt DMelt: smile.stat.distribution.LogisticDistribution [50%] (Java API)
  71. DataMelt DMelt: smile.stat.distribution.Mixture [50%] (Java API)
  72. DataMelt DMelt: smile.stat.distribution.MultivariateDistribution [50%] (Java API)
  73. DataMelt DMelt: smile.stat.distribution.MultivariateExponentialFamily [50%] (Java API)
  74. DataMelt DMelt: smile.stat.distribution.MultivariateExponentialFamilyMixture [50%] (Java API)
  75. DataMelt DMelt: smile.stat.distribution.MultivariateGaussianDistribution [50%] (Java API)
  76. DataMelt DMelt: smile.stat.distribution.MultivariateGaussianMixture [50%] (Java API)
  77. DataMelt DMelt: smile.stat.distribution.MultivariateMixture [50%] (Java API)
  78. DataMelt DMelt: smile.stat.distribution.NegativeBinomialDistribution [50%] (Java API)
  79. DataMelt DMelt: smile.stat.distribution.PoissonDistribution [50%] (Java API)
  80. DataMelt DMelt: smile.stat.distribution.ShiftedGeometricDistribution [50%] (Java API)
  81. DataMelt DMelt: smile.stat.distribution.TDistribution [50%] (Java API)
  82. DataMelt DMelt: smile.stat.distribution.WeibullDistribution [50%] (Java API)
  83. DataMelt DMelt: smile.stat.distribution.package-frame [50%] (Java API)
  84. DataMelt DMelt: smile.stat.distribution.package-summary [50%] (Java API)
  85. DataMelt DMelt: smile.stat.hypothesis.ChiSqTest [50%] (Java API)
  86. DataMelt DMelt: smile.stat.hypothesis.CorTest [50%] (Java API)
  87. DataMelt DMelt: smile.stat.hypothesis.FTest [50%] (Java API)
  88. DataMelt DMelt: smile.stat.hypothesis.KSTest [50%] (Java API)
  89. DataMelt DMelt: smile.stat.hypothesis.TTest [50%] (Java API)
  90. DataMelt DMelt: smile.stat.hypothesis.package-frame [50%] (Java API)
  91. DataMelt DMelt: smile.stat.hypothesis.package-summary [50%] (Java API)
  92. DataMelt DMelt: cern.jet.stat.quantile.DoubleQuantileFinder [43%] (Java API)
  93. DataMelt DMelt: cern.jet.stat.quantile.EquiDepthHistogram [43%] (Java API)
  94. DataMelt DMelt: cern.jet.stat.quantile.Quantile1Test [43%] (Java API)
  95. DataMelt DMelt: cern.jet.stat.quantile.QuantileFinderFactory [43%] (Java API)
  96. DataMelt DMelt: cern.jet.stat.quantile.package-frame [43%] (Java API)
  97. DataMelt DMelt: cern.jet.stat.quantile.package-summary [43%] (Java API)
  98. DataMelt DMelt: cern.jet.stat.tdouble.DoubleDescriptive [43%] (Java API)
  99. DataMelt DMelt: cern.jet.stat.tdouble.Gamma [43%] (Java API)
  100. DataMelt DMelt: cern.jet.stat.tdouble.Probability [43%] (Java API)
  101. Jython Jython Example: stat_distributions.py [37%] Verious random distributions
  102. Octave/Matlab Octave/Matlab Example: stat_corr.m [37%] Covariance calculations and correlations
  103. Jython Jython Example: stat_histo.py [37%] statistical characteristions on an array
  104. Jython Jython Example: stat_limits_exclusion_sys2.py [35%] Computation of 95 % C.L. limits using stat. and systematical errors
  105. Jython Jython Example: stat_limits_exclusion_sys0.py [35%] Computation of 95 % C.L. limits using stat. and systematical errors
  106. Jython Jython Example: stat_limits_exclusion_lnq.py [35%] Computation of 95 % C.L. limits with stat. errors
  107. Jython Jython Example: stat_moments.py [31%] Calculations of moments of a statistical distribution
  108. Jython Jython Example: stat_pca.py [31%] Principle component analysis (PCA)
  109. Jython Jython Example: stat_statlimit_calculator.py [31%] Statistical limit calculator
  110. Octave/Matlab Octave/Matlab Example: stat_plot.m [31%] Draw areas under the normal distribution
  111. Jython Jython Example: stat_smoothing_spline.py [31%] Data smoothing (interpolation), Cubic and SPline
  112. Jython Jython Example: stat_random_sample.py [31%] Random distribution according to a analysic function
  113. Jython Jython Example: stat_statlimit.py [31%] Statistical limits in presence of background
  114. Jython Jython Example: stat_smoothing.py [31%] Loess (Lowess) smoothing of a histogram
  115. Jython Jython Example: stat_statshape.py [31%] Identification of 2D shapes in data
  116. Jython Jython Example: stat_factorial_moments.py [31%] Calculations of factorial moments of a distribution
  117. Jython Jython Example: stat_pca_matrix.py [31%] Principle component analysis (PCA) on a matrix
  118. Jython Jython Example: stat_alpha_pdf.py [31%] Plottinting two Gamma functions
  119. Jython Jython Example: stat_compare_p0d.py [31%] Statistical comparison of two one-dimensional arrays
  120. Jython Jython Example: stat_sdeviation.py [31%] Calculate the standard deviation of a normal distribution
  121. Jython Jython Example: stat_nfm.py [31%] Calculations of normalised factorial moments of several distributions
  122. Jython Jython Example: stat_beta_pdf.py [31%] Density distribution of Cauchy function
  123. Jython Jython Example: stat_statlimit_multy.py [31%] Statistical limits in presence of background
  124. Octave/Matlab Octave/Matlab Example: stat_desc.m [31%] Descriptive statistics using Octave language
  125. Jython Jython Example: stat_smoothing_data.py [31%] Loess (Lowess) smoothing of data
  126. Jython Jython Example: stat_comparisons.py [25%] Statistical comparisons. Kolmogorov Smirnov (KS), Anderson-Darling, Goodman
  127. Jython Jython Example: stat_poly_regression.py [25%] Polynomial regression example. It shows PolySolve generator to fit X-Y data.
  128. Jython Jython Example: stat_limits_exclusion.py [25%] Computation of 95% CL limits with treatment of statistical errors
  129. Jython Jython Example: stat_random_convolute.py [25%] Convolution of 2 random distributionis (Gamma with Poisson)
  130. Jython Jython Example: stat_conf_interval.py [25%] Confidence interval for means with unknown standard deviation using the Student t distribution.
  131. Jython Jython Example: stat_limits_discovery.py [25%] Computation of 95 % CL limits with statistical errors
  132. Jython Jython Example: stat_normalized_moments.py [25%] Calculations of normalised factorial moments of several distributions
  133. Jython Jython Example: stat_eecentricity.py [25%] Calculate eecentricity using a principle component analysis (PCA)
  134. Jython Jython Example: stat_limits_discovery_sys1.py [25%] Computation of 95 % C.L. limits using systematic errors
  135. Jython Jython Example: stat_compare_h1d.py [25%] Statistical comparison of two histograms (chi2, p-values)
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