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    • Extreme.Mathematics Namespace
    • Extreme.Mathematics.Algorithms Namespace
    • Extreme.Mathematics.Calculus Namespace
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations Namespace
    • Extreme.Mathematics.Curves Namespace
    • Extreme.Mathematics.Curves.Nonlinear Namespace
    • Extreme.Mathematics.EquationSolvers Namespace
    • Extreme.Mathematics.Generic Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra Namespace
    • Extreme.Mathematics.LinearAlgebra.Complex Namespace
    • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions Namespace
    • Extreme.Mathematics.LinearAlgebra.IO Namespace
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers Namespace
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners Namespace
    • Extreme.Mathematics.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra.Sparse Namespace
    • Extreme.Mathematics.Optimization Namespace
    • Extreme.Mathematics.Optimization.LineSearches Namespace
    • Extreme.Mathematics.SignalProcessing Namespace
    • Extreme.Statistics Namespace
    • Extreme.Statistics.Distributions Namespace
    • Extreme.Statistics.IO Namespace
    • Extreme.Statistics.Multivariate Namespace
    • Extreme.Statistics.Random Namespace
    • Extreme.Statistics.Tests Namespace
    • Extreme.Statistics.TimeSeriesAnalysis Namespace
  • Extreme.Statistics Namespace
    • Aggregator Class
    • AnovaModel Class
    • AnovaModelRow Class
    • AnovaRow Class
    • AnovaRowCollection Class
    • AnovaRowType Enumeration
    • AnovaTable Class
    • BoundaryIntervalBehavior Enumeration
    • CategoricalScale Class
    • CategoricalVariable Class
    • CategoricalVariable.CategoricalFilters Structure
    • Cell Class
    • CellArray Class
    • CollectionSortOrder Class
    • ContingencyTable Class
    • ContingencyTableCell Structure
    • DataArray(T) Class
    • DataArrayElement(T) Class
    • DateTimeInterval Structure
    • DateTimeScale Class
    • DateTimeUnit Enumeration
    • DateTimeVariable Class
    • DateTimeVariable.DateTimeFilters Structure
    • Filter Class
    • GeneralizedLinearModel Class
    • Histogram Class
    • HistogramBin Structure
    • HistogramBinCollection Class
    • InsufficientDataException Class
    • KeyVariable Class
    • KeyVariable(T) Class
    • LinearRegressionModel Class
    • LinkFunction Class
    • LogisticRegressionMethod Enumeration
    • LogisticRegressionModel Class
    • MissingValueAction Enumeration
    • MissingValueException Class
    • Model Class
    • ModelFamily Class
    • NonlinearRegressionModel Class
    • NumericalScale Class
    • NumericalVariable Class
    • NumericalVariable.NumericalFilters Structure
    • NumericalVariable.NumericalVariableTransforms Structure
    • Observation Structure
    • ObservationCollection Class
    • OneWayAnovaModel Class
    • OneWayRAnovaModel Class
    • Parameter Class
    • ParameterCollection Class
    • PolynomialRegressionModel Class
    • RankTiebreaker Enumeration
    • ScaleFittingMethod Enumeration
    • SimpleRegressionKind Enumeration
    • SimpleRegressionModel Class
    • SortOrder Enumeration
    • SpecialBins Enumeration
    • Stats Class
    • StepwiseCriterion Enumeration
    • StepwiseOptions Class
    • StepwiseRegressionMethod Enumeration
    • TestOfHomogeneityOfVariances Enumeration
    • TestOfNormality Enumeration
    • TransformedParameter Class
    • TwoWayAnovaModel Class
    • UnivariateModel Class
    • Variable Class
    • VariableCollection Class
    • WindowFilter Class
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Extreme.Statistics Namespace

The Extreme.Statistics namespace contains classes that are used to represent statistical models.

Classes

  Class Description
Public class Aggregator
Represents a method that aggregates data in a variable.
Public class AnovaModel
Represents an Analysis of Variance (ANOVA) model.
Public class AnovaModelRow
Represents a row representing a contribution from the model in an AnovaTable.
Public class AnovaRow
Represents a row in an AnovaTable.
Public class AnovaRowCollection
Represents a collection of AnovaRow objects.
Public class AnovaTable
Represents a table containing the results of an ANOVA analysis.
Public class CategoricalScale
Represents a discrete classification of a Variable.
Public class CategoricalVariable
Represents a statistical Variable that can take on a discrete set of values.
Public class Cell
Represents a data cell in an AnovaModel.
Public class CellArray
Represents the summary data in the cells of an ANOVA table.
Public class CollectionSortOrder
Represents an ordering of a VariableCollection.
Public class ContingencyTable
Represents a table that cross-tabulates totals from two categorical variables.
Public class DataArray<(Of <(<'T>)>)>
Represents a multidimensional data store.
Public class DataArrayElement<(Of <(<'T>)>)>
Represents an element in a DataArray<(Of <(<'T>)>)>.
Public class DateTimeScale
Represents a mapping from DateTime values to a discrete scale of time periods.
Public class DateTimeVariable
Represents a statistical variable that takes on date/time values.
Public class Filter
Represents a filter that can be used to select observations in a Variable or VariableCollection.
Public class GeneralizedLinearModel
Represents a generalized linear model.
Public class Histogram
Represents a histogram.
Public class HistogramBinCollection
Represents a collection of bins in a Histogram.
Public class InsufficientDataException
Represents an exception that may be thrown when a variable or variable collection contains insufficient data to perform a calculation.
Public class KeyVariable
Represents a variable containing row keys.
Public class KeyVariable<(Of <(<'T>)>)>
Represents a variable containing row keys.
Public class LinearRegressionModel
Represents a linear regression model.
Public class LinkFunction
Represents a link function in a GeneralizedLinearModel.
Public class LogisticRegressionModel
Represents a logistic regression model.
Public class MissingValueException
Represents an exception that may be thrown when a missing data value is encountered during a calculation.
Public class Model
Represents a statistical model.
Public class ModelFamily
Represents a family of distributions for the dependent variable in a GeneralizedLinearModel.
Public class NonlinearRegressionModel
Represents a nonlinear regression model.
Public class NumericalScale
Represents a division of a numerical range into a number of intervals.
Public class NumericalVariable
Represents a statistical variable that takes on numerical values.
Public class ObservationCollection
Represents a collection of observations in a VariableCollection.
Public class OneWayAnovaModel
Represents the results of a one-way analysis of variance (ANOVA).
Public class OneWayRAnovaModel
Represents an analysis of variance (ANOVA) calculation.
Public class Parameter
Represents a parameter in a statistical model.
Public class ParameterCollection
Represents a collection of Parameter objects.
Public class PolynomialRegressionModel
Represents a polynomial regression model.
Public class SimpleRegressionModel
Represents a linear regression model.
Public class Stats
Provides static methods for descriptive statistics and other statistical functions.
Public class StepwiseOptions
Specifies options for stepwise regression calculations.
Public class TransformedParameter
Represents a parameter in a statistical model that is a transformation of a standard parameter.
Public class TwoWayAnovaModel
Represents a two-way within-subjects Analysis of Variance (ANOVA) model.
Public class UnivariateModel
Represents a statistical model.
Public class Variable
Represents a statistical variable.
Public class VariableCollection
Represents a collection of variables in a statistical model.
Public class WindowFilter
Represents a sliding window on a variable or variable collection.

Structures

  Structure Description
Public structure CategoricalVariable..::..CategoricalFilters
Provides access to methods that create filters based on the values in a CategoricalVariable.
Public structure ContingencyTableCell
Represents a bin in a ContingencyTable.
Public structure DateTimeInterval
Represents an interval of real numbers.
Public structure DateTimeVariable..::..DateTimeFilters
Provides access to methods that create filters based on the values in a DateTimeVariable.
Public structure HistogramBin
Represents a bin in a Histogram.
Public structure NumericalVariable..::..NumericalFilters
Provides access to methods that create filters based on the values in a NumericalVariable.
Public structure NumericalVariable..::..NumericalVariableTransforms
Represents transformations that can be applied to a numerical variable.
Public structure Observation
Represents a specific observation in a VariableCollection.

Enumerations

  Enumeration Description
Public enumeration AnovaRowType
Enumerates the possible types of rows in an AnovaTable.
Public enumeration BoundaryIntervalBehavior
Enumerates how segments at the boundaries of subdivided series are handled.
Public enumeration DateTimeUnit
Enumerates the time units.
Public enumeration LogisticRegressionMethod
Enumerates the variants of logistic regression that can be represented by a LogisticRegressionModel.
Public enumeration MissingValueAction
Enumerates the possible actions to be taken when a calculation encounters a missing value.
Public enumeration RankTiebreaker
Enumerates the possible ways to break a tie when ranking observations.
Public enumeration ScaleFittingMethod
Enumerates the possible ways to estimate the scale parameter in a generalized linear model.
Public enumeration SimpleRegressionKind
Enumerates the different kinds of regression between two variables.
Public enumeration SortOrder
Enumerates the ways data can be sorted.
Public enumeration SpecialBins
Enumerates the possible special bins to be included in a CategoricalScale.
Public enumeration StepwiseCriterion
Enumerates the possible ways to define the threshold for the to-enter and to-remove values.
Public enumeration StepwiseRegressionMethod
Enumerates the possible ways to perform a stepwise regression.
Public enumeration TestOfHomogeneityOfVariances
Enumerates the choices when testing whether a number of samples have the same variance.
Public enumeration TestOfNormality
Enumerates the choices when testing whether a sample follows a normal distribution.

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