gemseo.uncertainty.statistics package

Capabilities to compute statistics from a dataset.

Subpackages

• gemseo.uncertainty.statistics.tolerance_interval package
  • Submodules
    • gemseo.uncertainty.statistics.tolerance_interval.distribution module
      • BaseToleranceInterval
    • gemseo.uncertainty.statistics.tolerance_interval.empirical module
      • EmpiricalToleranceInterval
    • gemseo.uncertainty.statistics.tolerance_interval.exponential module
      • ExponentialToleranceInterval
    • gemseo.uncertainty.statistics.tolerance_interval.factory module
      • ToleranceIntervalFactory
    • gemseo.uncertainty.statistics.tolerance_interval.lognormal module
      • LogNormalToleranceInterval
    • gemseo.uncertainty.statistics.tolerance_interval.normal module
      • NormalToleranceInterval
    • gemseo.uncertainty.statistics.tolerance_interval.uniform module
      • UniformToleranceInterval
    • gemseo.uncertainty.statistics.tolerance_interval.weibull module
      • WeibullMinToleranceInterval
      • WeibullToleranceInterval

Submodules

• gemseo.uncertainty.statistics.base_statistics module
  • Overview
  • Construction
  • Capabilities
  • BaseStatistics
    • BaseStatistics.compute_a_value()
    • BaseStatistics.compute_b_value()
    • BaseStatistics.compute_expression()
    • BaseStatistics.compute_joint_probability()
    • BaseStatistics.compute_margin()
    • BaseStatistics.compute_maximum()
    • BaseStatistics.compute_mean()
    • BaseStatistics.compute_mean_std()
    • BaseStatistics.compute_median()
    • BaseStatistics.compute_minimum()
    • BaseStatistics.compute_moment()
    • BaseStatistics.compute_percentile()
    • BaseStatistics.compute_probability()
    • BaseStatistics.compute_quantile()
    • BaseStatistics.compute_quartile()
    • BaseStatistics.compute_range()
    • BaseStatistics.compute_standard_deviation()
    • BaseStatistics.compute_tolerance_interval()
    • BaseStatistics.compute_variance()
    • BaseStatistics.compute_variation_coefficient()
    • BaseStatistics.SYMBOLS
    • BaseStatistics.dataset
    • BaseStatistics.n_samples
    • BaseStatistics.n_variables
    • BaseStatistics.name
• gemseo.uncertainty.statistics.empirical_statistics module
  • Overview
  • Construction
  • EmpiricalStatistics
    • EmpiricalStatistics.compute_joint_probability()
    • EmpiricalStatistics.compute_maximum()
    • EmpiricalStatistics.compute_mean()
    • EmpiricalStatistics.compute_minimum()
    • EmpiricalStatistics.compute_moment()
    • EmpiricalStatistics.compute_probability()
    • EmpiricalStatistics.compute_quantile()
    • EmpiricalStatistics.compute_range()
    • EmpiricalStatistics.compute_standard_deviation()
    • EmpiricalStatistics.compute_tolerance_interval()
    • EmpiricalStatistics.compute_variance()
    • EmpiricalStatistics.plot_boxplot()
    • EmpiricalStatistics.plot_cdf()
    • EmpiricalStatistics.plot_pdf()
• gemseo.uncertainty.statistics.parametric_statistics module
  • Overview
  • Construction
  • Capabilities
  • ParametricStatistics
    • ParametricStatistics.DistributionName
      • ParametricStatistics.DistributionName.Arcsine
      • ParametricStatistics.DistributionName.Beta
      • ParametricStatistics.DistributionName.Burr
      • ParametricStatistics.DistributionName.Chi
      • ParametricStatistics.DistributionName.ChiSquare
      • ParametricStatistics.DistributionName.Dirichlet
      • ParametricStatistics.DistributionName.Exponential
      • ParametricStatistics.DistributionName.FisherSnedecor
      • ParametricStatistics.DistributionName.Frechet
      • ParametricStatistics.DistributionName.Gamma
      • ParametricStatistics.DistributionName.GeneralizedPareto
      • ParametricStatistics.DistributionName.Gumbel
      • ParametricStatistics.DistributionName.Histogram
      • ParametricStatistics.DistributionName.InverseNormal
      • ParametricStatistics.DistributionName.Laplace
      • ParametricStatistics.DistributionName.LogNormal
      • ParametricStatistics.DistributionName.LogUniform
      • ParametricStatistics.DistributionName.Logistic
      • ParametricStatistics.DistributionName.MeixnerDistribution
      • ParametricStatistics.DistributionName.Normal
      • ParametricStatistics.DistributionName.Pareto
      • ParametricStatistics.DistributionName.Rayleigh
      • ParametricStatistics.DistributionName.Rice
      • ParametricStatistics.DistributionName.Student
      • ParametricStatistics.DistributionName.Trapezoidal
      • ParametricStatistics.DistributionName.Triangular
      • ParametricStatistics.DistributionName.TruncatedNormal
      • ParametricStatistics.DistributionName.Uniform
      • ParametricStatistics.DistributionName.VonMises
      • ParametricStatistics.DistributionName.WeibullMax
      • ParametricStatistics.DistributionName.WeibullMin
    • ParametricStatistics.FittingCriterion
      • ParametricStatistics.FittingCriterion.BIC
      • ParametricStatistics.FittingCriterion.ChiSquared
      • ParametricStatistics.FittingCriterion.Kolmogorov
    • ParametricStatistics.SelectionCriterion
      • ParametricStatistics.SelectionCriterion.BEST
      • ParametricStatistics.SelectionCriterion.FIRST
    • ParametricStatistics.SignificanceTest
      • ParametricStatistics.SignificanceTest.ChiSquared
      • ParametricStatistics.SignificanceTest.Kolmogorov
    • ParametricStatistics.compute_joint_probability()
    • ParametricStatistics.compute_maximum()
    • ParametricStatistics.compute_mean()
    • ParametricStatistics.compute_minimum()
    • ParametricStatistics.compute_moment()
    • ParametricStatistics.compute_probability()
    • ParametricStatistics.compute_quantile()
    • ParametricStatistics.compute_range()
    • ParametricStatistics.compute_standard_deviation()
    • ParametricStatistics.compute_tolerance_interval()
    • ParametricStatistics.compute_variance()
    • ParametricStatistics.get_criteria()
    • ParametricStatistics.get_fitting_matrix()
    • ParametricStatistics.plot()
    • ParametricStatistics.plot_criteria()
    • ParametricStatistics.distributions
    • ParametricStatistics.fitting_criterion
    • ParametricStatistics.level
    • ParametricStatistics.selection_criterion