Student’s t

greybox.distributions.dt(q, df, loc=0, scale=1, log=False)

T-distribution density.

Parameters:

• q (array_like) – Quantiles.

• df (float) – Degrees of freedom.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

• log (bool) – If True, return log-density.

Returns:

Density values.

Return type:

array

greybox.distributions.pt(q, df, loc=0, scale=1)

T-distribution CDF.

Parameters:

• q (array_like) – Quantiles.

• df (float) – Degrees of freedom.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

Returns:

CDF values.

Return type:

array

greybox.distributions.qt(p, df, loc=0, scale=1)

T-distribution quantile function.

Parameters:

• p (array_like) – Probabilities.

• df (float) – Degrees of freedom.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

Returns:

Quantile values.

Return type:

array

greybox.distributions.rt(n, df, loc=0, scale=1)

T-distribution random number generation.

Parameters:

• n (int) – Number of observations.

• df (float) – Degrees of freedom.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

Returns:

Random values.

Return type:

array