Beta Type

Beta distribution

Static members

Static member Description

Beta.CDF(alpha) (beta) (x)

Full Usage: Beta.CDF(alpha) (beta) (x)

Parameters:
    alpha : float
    beta : float
    x : float

Returns: float

Computes the cumulative distribution function.

alpha : float
beta : float
x : float
Returns: float

Beta.Mean(alpha) (beta)

Full Usage: Beta.Mean(alpha) (beta)

Parameters:
    alpha : float
    beta : float

Returns: float

Computes the mean.

alpha : float
beta : float
Returns: float

Beta.PDF(alpha) (beta) (x)

Full Usage: Beta.PDF(alpha) (beta) (x)

Parameters:
    alpha : float
    beta : float
    x : float

Returns: float

Computes the probability density function.

alpha : float
beta : float
x : float
Returns: float

Beta.Sample(alpha) (beta)

Full Usage: Beta.Sample(alpha) (beta)

Parameters:
    alpha : float
    beta : float

Returns: float

Produces a random sample using the current random number generator (from GetSampleGenerator()).

alpha : float
beta : float
Returns: float

Beta.StandardDeviation(alpha) (beta)

Full Usage: Beta.StandardDeviation(alpha) (beta)

Parameters:
    alpha : float
    beta : float

Returns: float

Computes the standard deviation.

alpha : float
beta : float
Returns: float

Beta.Support(alpha) (beta)

Full Usage: Beta.Support(alpha) (beta)

Parameters:
    alpha : float
    beta : float

Returns: float * float

Returns the support of the exponential distribution: [0.0, 1.0).

alpha : float
beta : float
Returns: float * float

Beta.Variance(alpha) (beta)

Full Usage: Beta.Variance(alpha) (beta)

Parameters:
    alpha : float
    beta : float

Returns: float

Computes the variance.

alpha : float
beta : float
Returns: float