Fisher |
public class FisherSnedecorDistribution : ContinuousDistribution
The FisherSnedecorDistribution type exposes the following members.
Name | Description | |
---|---|---|
FisherSnedecorDistribution | Initializes a new instance of the FisherSnedecorDistribution class, using a StandardGenerator as underlying random number generator. | |
FisherSnedecorDistribution(Generator) | Initializes a new instance of the FisherSnedecorDistribution class, using the specified Generator as underlying random number generator. | |
FisherSnedecorDistribution(Double, Double) | Initializes a new instance of the FisherSnedecorDistribution class | |
FisherSnedecorDistribution(Double, Double, Generator) | Initializes a new instance of the FisherSnedecorDistribution class |
Name | Description | |
---|---|---|
Alpha | Gets or sets the parameter alpha which is used for generation of Fisher-Snedecor distributed random numbers. | |
Beta | Gets or sets the parameter beta which is used for generation of Fisher-Snedecor distributed random numbers. | |
CanReset |
Gets a value indicating whether the random number distribution can be reset, so that it produces the same
random number sequence again.
(Inherited from Distribution) | |
Generator |
Gets or sets a Generator object that can be used as underlying random number generator.
(Inherited from Distribution) | |
Maximum |
Gets the maximum possible value of Fisher-Snedecor distributed random numbers.
(Overrides DistributionMaximum) | |
Mean |
Gets the mean value of Fisher-Snedecor distributed random numbers.
(Overrides DistributionMean) | |
Median |
Gets the median of Fisher-Snedecor distributed random numbers.
(Overrides DistributionMedian) | |
Minimum |
Gets the minimum possible value of Fisher-Snedecor distributed random numbers.
(Overrides DistributionMinimum) | |
Mode |
Gets the mode of Fisher-Snedecor distributed random numbers.
(Overrides DistributionMode) | |
Variance |
Gets the variance of Fisher-Snedecor distributed random numbers.
(Overrides DistributionVariance) |
Name | Description | |
---|---|---|
CDF(Double) |
Returns the cumulated distribution function for value x with the distribution parameters numf and denomf.
(Overrides ContinuousDistributionCDF(Double)) | |
CDF(Double, Double, Double) | Returns the cumulated distribution function for value x with the distribution parameters numf and denomf. | |
Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) | |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) | |
GetHashCode | Serves as the default hash function. (Inherited from Object) | |
GetType | Gets the Type of the current instance. (Inherited from Object) | |
Initialize | ||
IsValidAlpha | Determines whether the specified value is valid for parameter Alpha. | |
IsValidBeta | Determines whether the specified value is valid for parameter Beta. | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) | |
NextDouble |
Returns a Fisher-Snedecor distributed floating point random number.
(Overrides DistributionNextDouble) | |
PDF(Double) |
Returns the probability density function for value x with the distribution parameters p and q.
(Overrides ContinuousDistributionPDF(Double)) | |
PDF(Double, Double, Double) | Returns the probability density function for value x with the distribution parameters p and q. | |
Quantile(Double) |
Quantile of the F-distribution.
(Overrides ContinuousDistributionQuantile(Double)) | |
Quantile(Double, Double, Double) | Quantile of the F-distribution. | |
Reset |
Resets the random number distribution, so that it produces the same random number sequence again.
(Inherited from Distribution) | |
ToString | Returns a string that represents the current object. (Inherited from Object) |
Name | Description | |
---|---|---|
generator |
Stores a Generator object that can be used as underlying random number generator.
(Inherited from Distribution) |
Return F-distributed (variance ratio distributed) random deviates
with n numerator degrees of freedom and d denominator degrees of freedom
according to the density:
p (x) dx = ... dx
a,b
Both paramters alpha and beta must be positive.
Method: The random numbers are directly generated from ratios of
ChiSquare variates according to:
F = (ChiSquare(alpha)/alpha) / (ChiSquare(beta)/beta)