Inverse
Definition
Namespace: Extreme.Statistics.Distributions
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
Overload List
| Inverse | Constructs a new inverse Weibull distribution with location parameter zero and shape factor 1. |
| Inverse | Estimates the parameters of the distribution of a variable assuming it follows an inverse Weibull distribution. |
| Inverse | Constructs a new inverse Weibull distribution with location parameter zero. |
| Inverse | Estimates the parameters of the distribution of a variable assuming it follows an inverse Weibull distribution. |
| Inverse | Constructs a new inverse Weibull distribution. |
InverseWeibullDistribution(Double)
Constructs a new inverse Weibull distribution with location parameter
zero and shape factor 1.
public InverseWeibullDistribution(
double shape
)Parameters
- shape Double
- The shape parameter.
Remarks
The shape parameter must be greater than zero.
Exceptions
| ArgumentOutOfRangeException | shape is less than or equal to zero. |
InverseWeibullDistribution(Vector<Double>)
Estimates the parameters of the distribution of a variable
assuming it follows an inverse Weibull distribution.
public InverseWeibullDistribution(
Vector<double> variable
)Parameters
- variable Vector<Double>
- A vector.
Return Value
The InverseWeibullDistribution that best matches the distribution of variable.Remarks
Use this constructor to create a NormalDistribution whose parameters are estimated from variable. This constructor uses an unbiased estimator.
Exceptions
| ArgumentNullException | variable is null. |
InverseWeibullDistribution(Double, Double)
Constructs a new inverse Weibull distribution
with location parameter zero.
public InverseWeibullDistribution(
double shape,
double scale
)Parameters
- shape Double
- The shape parameter.
- scale Double
- The scale parameter.
Remarks
The scale and shape parameters must be greater than zero.
Exceptions
| ArgumentOutOfRangeException | shape is less than or equal to zero.
-or- scale is less than or equal to zero. |
InverseWeibullDistribution(Vector<Double>, EstimationMethod)
Estimates the parameters of the distribution of a variable
assuming it follows an inverse Weibull distribution.
public InverseWeibullDistribution(
Vector<double> variable,
EstimationMethod method
)Parameters
- variable Vector<Double>
- A vector.
- method EstimationMethod
- An EstimationMethod value that specifies the method to be used to estimate the distribution parameters.
Return Value
The InverseWeibullDistribution that best matches the distribution of variable.Remarks
Use this constructor to create a NormalDistribution whose parameters are estimated from variable. The maximum likelihood and matching moment methods use biased and unbiased estimators for the standard deviation.
Exceptions
| ArgumentNullException | variable is null. |
InverseWeibullDistribution(Double, Double, Double)
Constructs a new inverse Weibull distribution.
public InverseWeibullDistribution(
double shape,
double scale,
double location
)Parameters
- shape Double
- The shape parameter.
- scale Double
- The scale parameter.
- location Double
- The location parameter.
Remarks
The scale and shape parameters must be greater than zero.
Exceptions
| ArgumentOutOfRangeException | shape is less than or equal to zero.
-or- scale is less than or equal to zero. |