Chi |
public class ChiSquareDistribution : ContinuousDistribution
The ChiSquareDistribution type exposes the following members.
| Name | Description | |
|---|---|---|
| ChiSquareDistribution | Initializes a new instance of the ChiSquareDistribution class using the default generator. | |
| ChiSquareDistribution(Double) | Initializes a new instance of the ChiSquareDistribution class using the specified degrees of freedom and the default generator. | |
| ChiSquareDistribution(Generator) | Initializes a new instance of the ChiSquareDistribution class using the specified random number generator. | |
| ChiSquareDistribution(Double, Generator) | Initializes a new instance of the ChiSquareDistribution class using the specified degrees of freedom and random number generator. |
| 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 | Gets the degrees of freedom of the distribution. | |
| Generator |
Gets or sets a Generator object that can be used as the underlying random number generator.
(Inherited from Distribution) | |
| Maximum |
Gets the maximum possible value of distributed random numbers.
(Overrides DistributionMaximum) | |
| Mean |
Gets the mean of distributed random numbers.
(Overrides DistributionMean) | |
| Median |
Gets the median of distributed random numbers.
(Overrides DistributionMedian) | |
| Minimum |
Gets the minimum possible value of distributed random numbers.
(Overrides DistributionMinimum) | |
| Mode |
Gets the mode of distributed random numbers.
(Overrides DistributionMode) | |
| Variance |
Gets the variance of distributed random numbers.
(Overrides DistributionVariance) |
| Name | Description | |
|---|---|---|
| CDF(Double) | Calculates the cumulative distribution function. (Overrides ContinuousDistributionCDF(Double)) | |
| CDF(Double, Double) | Calculates the cumulative distribution function for the specified degrees of freedom. | |
| 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 | Initializes this instance with the specified degrees of freedom. | |
| IsValidAlpha | Determines whether the specified value is valid for parameter Alpha. | |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) | |
| NextDouble |
Returns a distributed floating-point random number.
(Overrides DistributionNextDouble) | |
| PDF(Double) | Calculates the probability density function. (Overrides ContinuousDistributionPDF(Double)) | |
| PDF(Double, Double) | Calculates the probability density function for the specified degrees of freedom. | |
| Quantile(Double) | Calculates the quantile of the distribution function. (Overrides ContinuousDistributionQuantile(Double)) | |
| Quantile(Double, Double) | Calculates the quantile function for the specified degrees of freedom. | |
| 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 | Gets the degrees of freedom. | |
| gamma | Stores the underlying GammaDistribution used for number generation. | |
| generator |
Stores a Generator object that can be used as the 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 the chi-square and gamma distributions: ChiSquare(f) = GammaDistribution(f/2, 1/2) References: K. Behnen, G. Neuhaus, "Grundkurs Stochastik", Teubner Studienbuecher Mathematik, Teubner Verlag, Stuttgart, 1984.