Class NormalDistribution

Provides generation of normal distributed random numbers.

Inheritance
System.Object
Distribution
NormalDistribution
Inherited Members
System.Object.ToString()
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: Experior.Core.Mathematics.Statistics.Generators.Continuous
Assembly: Experior.Core.dll
Syntax
public class NormalDistribution : Distribution
Remarks

The implementation of the NormalDistribution type bases upon information presented on Wikipedia - Normal distribution.

Constructors

NormalDistribution()

Initializes a new instance of the NormalDistribution class, using a StandardGenerator as underlying random number generator.

Declaration
public NormalDistribution()

NormalDistribution(Generator)

Initializes a new instance of the NormalDistribution class, using the specified Generator as underlying random number generator.

Declaration
public NormalDistribution(Generator generator)
Parameters
Type Name Description
Generator generator

A Generator object.

Properties

Maximum

Gets the maximum possible value of normal distributed random numbers.

Declaration
public override double Maximum { get; }
Property Value
Type Description
System.Double

The maximum.
Overrides

Mean

Gets the mean value of normal distributed random numbers.

Declaration
public override double Mean { get; }
Property Value
Type Description
System.Double

The mean.
Overrides

Median

Gets the median of normal distributed random numbers.

Declaration
public override double Median { get; }
Property Value
Type Description
System.Double

The median.
Overrides

Minimum

Gets the minimum possible value of normal distributed random numbers.

Declaration
public override double Minimum { get; }
Property Value
Type Description
System.Double

The minimum.
Overrides

Mode

Gets the mode of normal distributed random numbers.

Declaration
public override double[] Mode { get; }
Property Value
Type Description
System.Double[]

The mode.
Overrides

Mu

Gets or sets the parameter mu which is used for generation of normal distributed random numbers.

Declaration
public double Mu { get; set; }
Property Value
Type Description
System.Double

The mu.
Remarks

Call IsValidMu(Double) to determine whether a value is valid and therefor assignable.

Sigma

Gets or sets the parameter sigma which is used for generation of normal distributed random numbers.

Declaration
public double Sigma { get; set; }
Property Value
Type Description
System.Double

The sigma.
Remarks

Call IsValidSigma(Double) to determine whether a value is valid and therefor assignable.

Variance

Gets the variance of normal distributed random numbers.

Declaration
public override double Variance { get; }
Property Value
Type Description
System.Double

The variance.
Overrides

Methods

IsValidMu(Double)

Determines whether the specified value is valid for parameter Mu.

Declaration
public bool IsValidMu(double value)
Parameters
Type Name Description
System.Double value

The value to check.
Returns
Type Description
System.Boolean

true.

IsValidSigma(Double)

Determines whether the specified value is valid for parameter Sigma.

Declaration
public bool IsValidSigma(double value)
Parameters
Type Name Description
System.Double value

The value to check.
Returns
Type Description
System.Boolean

true if value is greater than 0.0; otherwise, false.

NextDouble()

Returns a normal distributed floating point random number.

Declaration
public override double NextDouble()
Returns
Type Description
System.Double

A normal distributed double-precision floating point number.
Overrides

Reset()

Resets the normal distribution, so that it produces the same random number sequence again.

Declaration
public override bool Reset()
Returns
Type Description
System.Boolean

true, if the normal distribution was reset; otherwise, false.
Overrides