Non
Represents the non-central Beta distribution.
Definition
Namespace: Numerics.NET.Statistics.Distributions
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.4
C#
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.4
[SerializableAttribute]
public class NonCentralBetaDistribution : ContinuousDistribution- Inheritance
- Object → Distribution → ContinuousDistribution → NonCentralBetaDistribution
Remarks
Non-central Beta distributions have two shape parameters, usually called α and β, as well as a non-centrality parameter λ.
Constructors
| Non | Constructs a new NonCentralBetaDistribution using the specified shape parameters. |
Properties
| Alpha | Gets the first shape parameter of this BetaDistribution. |
| Beta | Gets the first shape parameter of this BetaDistribution. |
| Capabilities |
Gets a value that indicates the capabilities of the distribution class.
(Inherited from Distribution) |
| Entropy |
Gets the entropy of the distribution.
(Inherited from Distribution) |
| Inter |
Returns the inter-quartile range of this distribution.
(Inherited from ContinuousDistribution) |
| IsSymmetrical |
Gets whether the distribution is known to be symmetrical around the mean.
(Overrides ContinuousDistribution.IsSymmetrical) |
| IsUnimodal |
Gets whether the distribution has one or more modes.
(Inherited from ContinuousDistribution) |
| Kurtosis |
Gets the kurtosis of the distribution.
(Inherited from Distribution) |
| Mean |
Gets the mean or expectation value of the distribution.
(Overrides Distribution.Mean) |
| Median |
Gets the median of the distribution.
(Inherited from ContinuousDistribution) |
| Mode |
Gets the mode of the distribution.
(Inherited from ContinuousDistribution) |
| Non | Gets the non-centrality parameter. |
| Number |
Gets the number of modes of the distribution.
(Inherited from ContinuousDistribution) |
| Skewness |
Gets the skewness of the distribution.
(Inherited from Distribution) |
| Standard |
Gets the standard deviation of the distribution.
(Inherited from Distribution) |
| Statistic |
Gets the common symbol to describe a statistic
from the distribution.
(Inherited from Distribution) |
| Support |
Gets the support of the distribution.
(Overrides ContinuousDistribution.Support) |
| Variance |
Gets the variance of the distribution.
(Overrides Distribution.Variance) |
Methods
| Cdf |
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution) |
| Distribution |
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Overrides ContinuousDistribution.DistributionFunction(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) |
| Get |
Returns an array that contains all the modes of the distribution.
(Inherited from ContinuousDistribution) |
| Get |
Returns the expectation value of a function.
(Inherited from ContinuousDistribution) |
| Get |
Returns the un-normalized expectation value of a function over the specified interval.
(Inherited from ContinuousDistribution) |
| Get |
Gets a vector containing a histogram of the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution) |
| Get |
Gets a vector containing a histogram of the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution) |
| Get |
Gets a vector whose bins contain the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution) |
| Get | Serves as the default hash function. (Inherited from Object) |
| Get |
Returns a sequence of random samples from the distribution.
(Inherited from ContinuousDistribution) |
| Get |
Returns a sequence of random samples from the distribution.
(Inherited from ContinuousDistribution) |
| Get |
Returns a sequence of random samples of the specified length from the distribution.
(Inherited from ContinuousDistribution) |
| Get | Gets the Type of the current instance. (Inherited from Object) |
| Hazard |
Returns the probability of failure at the specified value.
(Inherited from ContinuousDistribution) |
| Inverse |
Returns the inverse of the DistributionFunction(Double).
(Inherited from ContinuousDistribution) |
| Inverse |
Returns the inverse of the DistributionFunction(Double).
(Overrides ContinuousDistribution.InverseDistributionFunction(Double)) |
| Left |
Returns the probability that a sample from the distribution
is less than the specified value.
(Inherited from ContinuousDistribution) |
| Log |
Returns the logarithm of the probability density function
(PDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution) |
| Memberwise | Creates a shallow copy of the current Object. (Inherited from Object) |
| Moment |
Returns the value of the moment function of the specified order.
(Inherited from ContinuousDistribution) |
|
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution) | |
| Probability |
Returns the probability that a sample taken from the
distribution lies inside the specified interval.
(Inherited from ContinuousDistribution) |
| Probability |
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
(Overrides ContinuousDistribution.ProbabilityDensityFunction(Double)) |
| Right |
Returns the probability that a sample from the distribution
is larger than the specified value.
(Inherited from ContinuousDistribution) |
| Sample() |
Returns a random sample from the distribution.
(Inherited from ContinuousDistribution) |
| Sample( |
Returns a vector of random samples from the distribution.
(Inherited from ContinuousDistribution) |
| Sample( |
Returns a random sample from the distribution.
(Inherited from ContinuousDistribution) |
| Sample( |
Returns a vector of random samples from the distribution.
(Inherited from ContinuousDistribution) |
| Sample |
Fills a list with random numbers from the distribution.
(Inherited from ContinuousDistribution) |
| Sample |
Fills a list with random numbers from the distribution.
(Inherited from ContinuousDistribution) |
| Sample |
Fills a span with random numbers from the distribution.
(Inherited from ContinuousDistribution) |
| Sample |
Fills part of a list with random numbers from the distribution.
(Inherited from ContinuousDistribution) |
| Survivor |
Evaluates the survivor distribution function
(SDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution) |
| ToString | Returns a string that represents the current object. (Overrides Object.ToString()) |
| Two |
Returns the probability that a sample from the distribution deviates from the mean more than
the specified value.
(Inherited from ContinuousDistribution) |