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  • Extreme.Statistics
    • AnovaModel Class
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    • SumsOfSquaresType Enumeration
    • TestOfHomogeneityOfVariances Enumeration
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    • TwoWayAnovaModel Class
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  • Kernel Class
    • Kernel Constructor
    • Properties
    • Methods

Kernel Class

Extreme Optimization Numerical Libraries for .NET Professional
Represents a kernel used for kernel density estimation.
Inheritance Hierarchy

SystemObject
  Extreme.StatisticsKernel

Namespace:  Extreme.Statistics
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
Copy
public class Kernel
Public Class Kernel
public ref class Kernel
type Kernel =  class end

The Kernel type exposes the following members.

Constructors

  NameDescription
Public methodKernel
Constructs a new kernel.
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Properties

  NameDescription
Public propertyKernelFunction
Gets the function that evaluates the kernel.
Public propertyNormalizationConstant
Gets a multiplicative constant for the kernel function that ensures that the kernel density estimate is a probability density.
Public propertySupport
Gets the interval where the kernel is nonzero.
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Methods

  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetNormalReferenceConstant
Returns the constant used in the calculation of the normal reference asymptotic bandwidth.
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodWeight
Gets the normalized weight of the kernel at the specified distance.
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See Also

Reference

Extreme.Statistics Namespace

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