Found in titles:

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