F Type

F-distribution

Static members

Static member Description

F.CDF(dof1) (dof2) (x)

Full Usage: F.CDF(dof1) (dof2) (x)

Parameters:
    dof1 : float
    dof2 : float
    x : float

Returns: float

Computes the cumulative distribution function.

dof1 : float
dof2 : float
x : float
Returns: float

F.Mean(dof1) (dof2)

Full Usage: F.Mean(dof1) (dof2)

Parameters:
    dof1 : float
    dof2 : float

Returns: float

Computes the mean.

dof1 : float
dof2 : float
Returns: float

F.PDF(dof1) (dof2) (x)

Full Usage: F.PDF(dof1) (dof2) (x)

Parameters:
    dof1 : float
    dof2 : float
    x : float

Returns: float

Computes the probability density function.

dof1 : float
dof2 : float
x : float
Returns: float

F.Sample(dof1) (dof2)

Full Usage: F.Sample(dof1) (dof2)

Parameters:
    dof1 : float
    dof2 : float

Returns: float

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

dof1 : float
dof2 : float
Returns: float

F.StandardDeviation(dof1) (dof2)

Full Usage: F.StandardDeviation(dof1) (dof2)

Parameters:
    dof1 : float
    dof2 : float

Returns: float

Computes the standard deviation.

dof1 : float
dof2 : float
Returns: float

F.Support(dof1) (dof2)

Full Usage: F.Support(dof1) (dof2)

Parameters:
    dof1 : float
    dof2 : float

Returns: float * float

Returns the support of the exponential distribution: (0., Positive Infinity).

dof1 : float
dof2 : float
Returns: float * float

F.Variance(dof1) (dof2)

Full Usage: F.Variance(dof1) (dof2)

Parameters:
    dof1 : float
    dof2 : float

Returns: float

Computes the variance.

dof1 : float
dof2 : float
Returns: float