Chi |
public class ChiSquareDistribution : ContinuousDistribution
The ChiSquareDistribution type exposes the following members.
Name | Description | |
---|---|---|
ChiSquareDistribution | Initializes a new instance of the ChiSquareDistribution class | |
ChiSquareDistribution(Double) | Initializes a new instance of the ChiSquareDistribution class | |
ChiSquareDistribution(Generator) | Initializes a new instance of the ChiSquareDistribution class | |
ChiSquareDistribution(Double, Generator) | Initializes a new instance of the ChiSquareDistribution class |
Name | Description | |
---|---|---|
Alpha | Gets or sets the parameter alpha which is used for generation of chi-square 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) | |
Freedom | ||
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 chi-square distributed random numbers.
(Overrides DistributionMaximum) | |
Mean |
Gets the mean value of chi-square distributed random numbers.
(Overrides DistributionMean) | |
Median |
Gets the median of chi-square distributed random numbers.
(Overrides DistributionMedian) | |
Minimum |
Gets the minimum possible value of chi-square distributed random numbers.
(Overrides DistributionMinimum) | |
Mode |
Gets the mode of chi-square distributed random numbers.
(Overrides DistributionMode) | |
Variance |
Gets the variance of chi-square distributed random numbers.
(Overrides DistributionVariance) |
Name | Description | |
---|---|---|
CDF(Double) | (Overrides ContinuousDistributionCDF(Double)) | |
CDF(Double, Double) | ||
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. | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) | |
NextDouble | (Overrides DistributionNextDouble) | |
PDF(Double) | (Overrides ContinuousDistributionPDF(Double)) | |
PDF(Double, Double) | ||
Quantile(Double) | (Overrides ContinuousDistributionQuantile(Double)) | |
Quantile(Double, Double) | ||
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 | |
---|---|---|
F | ||
gamma | ||
generator |
Stores a Generator object that can be used as underlying random number generator.
(Inherited from Distribution) |
Generates random deviates from a central chi-square distribution with f degrees of freedom. f must be positive. The density of this distribution is: -f/2 f/2-1 -x/2 2 x e p (x) dx = --------------------- dx for x > 0 f Gamma(f/2) = 0 otherwise The calculation uses the relation between chi-square and gamma distribution: ChiSquare(f) = GammaDistribution(f/2,1/2) References: K. Behnen, G. Neuhaus, "Grundkurs Stochastik", Teubner Studienbuecher Mathematik, Teubner Verlag, Stuttgart, 1984.