## Types

Type NormalDistribution

Namespace MathNet.Numerics.Distributions

Parent ContinuousDistribution

### Public instance methods

#### double CumulativeDistribution(double x)

Continuous cumulative distribution function (cdf) of this probability distribution.
 return `double` `double` x

#### bool Equals(object obj)

 return `bool` `object` obj

#### void EstimateDistributionParameters(IEnumerable<double> samples)

 `IEnumerable` samples

#### int GetHashCode()

 return `int`

#### Type GetType()

 return `Type`

#### double InverseCumulativeDistribution(double x)

Inverse of the continuous cumulative distribution function of this probability distribution.
 return `double` `double` x

#### double NextDouble()

Returns a normal/gaussian distributed floating point random number.
 return `double`

#### double ProbabilityDensity(double x)

Continuous probability density function (pdf) of this probability distribution.
 return `double` `double` x

#### void SetDistributionParameters(double mu, double sigma)

Configure all distribution parameters.
 `double` mu `double` sigma

#### string ToString()

 return `string`

### Public static methods

#### bool IsValidParameterSet(double mu, double sigma)

Determines whether the specified parameters is valid.
 return `bool` `double` mu `double` sigma

### Public properties

#### bool CanReset get;

 `return bool`

#### double Maximum get;

Gets the maximum possible value of generated random numbers.
 `return double`

#### double Mean get;

Gets the mean value of generated random numbers.
 `return double`

#### double Median get;

Gets the median of generated random numbers.
 `return double`

#### double Minimum get;

Gets the minimum possible value of generated random numbers.
 `return double`

#### double Mu get; set;

Gets or sets the mu parameter.
 `return double`

#### RandomSource RandomSource get; set;

Gets or sets a RandomSource object that can be used as underlying random number generator.
 `return RandomSource`

#### double Sigma get; set;

Gets or sets the sigma (standard deviation) parameter.
 `return double`

#### double Skewness get;

Gets the skewness of generated random numbers.
 `return double`

#### double Variance get;

Gets the variance of generated random numbers.
 `return double`