public sealed class StudentDistribution : ContinuousDistribution
Public NotInheritable Class StudentDistribution Inherits ContinuousDistribution
public ref class StudentDistribution sealed : public ContinuousDistribution
[<SealedAttribute>] type StudentDistribution = class inherit ContinuousDistribution end
Thetype exposes the following members.
Gets the number of degrees of freedom.
Gets the excess kurtosis of the distribution.(Overrides UnivariateDistributionExcessKurtosis.)
Gets the mean of the distribution.(Overrides UnivariateDistributionMean.)
Gets the median of the distribution.(Overrides ContinuousDistributionMedian.)
Gets the skewness of the distribution.(Overrides UnivariateDistributionSkewness.)
Gets the standard deviation of the distribution.(Inherited from UnivariateDistribution.)
Gets the interval over which the distribution is non-vanishing.(Inherited from ContinuousDistribution.)
Gets the variance of the distribution.(Overrides UnivariateDistributionVariance.)
Computes a central moment of the distribution.(Overrides ContinuousDistributionCentralMoment(Int32).)
Computes a cumulant of the distribution.(Inherited from UnivariateDistribution.)
Determines whether the specified object is equal to the current object.(Inherited from Object.)
Computes the expectation value of the given function.(Inherited from ContinuousDistribution.)
Serves as the default hash function.(Inherited from Object.)
Generates a random variate.(Overrides ContinuousDistributionGetRandomValue(Random).)
Generates the given number of random variates.(Inherited from ContinuousDistribution.)
Gets the Type of the current instance.(Inherited from Object.)
Computes the hazard function.(Inherited from ContinuousDistribution.)
Returns the point at which the cumulative distribution function attains a given value.(Overrides ContinuousDistributionInverseLeftProbability(Double).)
Returns the point at which the right probability function attains the given value.(Inherited from ContinuousDistribution.)
Returns the cumulative probability to the left of (below) the given point.(Overrides ContinuousDistributionLeftProbability(Double).)
Returns the probability density at the given point.(Overrides ContinuousDistributionProbabilityDensity(Double).)
Computes a raw moment of the distribution.(Overrides ContinuousDistributionRawMoment(Int32).)
Returns the cumulative probability to the right of (above) the given point.(Overrides ContinuousDistributionRightProbability(Double).)
Returns a string that represents the current object.(Inherited from Object.)
The mean of n independent standard-normal distributed variables, divided by their root mean square, is distributed according a Student distribution with n degrees of freedom. Since this is the form of the expression for the mean of a sample divided by its standard deviation, the Student distribution expresses the distribution of sample means arround the population mean, for a normally distributed population.
The origin of the name Student distribution is a nice bit of statistical trivia. William Gosset published a paper describing the distribution and its statistical applications in 1908. His employer, the Guiness Brewery, did not want other brewers to be tipped off to its application to comparing small samples of beer, so they asked him to publish under a pseudonym. He published the paper under the name "Student" and the distribution has been known by that name since.