skgpuppy.PDF module

class skgpuppy.PDF.Normal

Bases: skgpuppy.PDF.PDF

estimate_min_max(mean, var, skew, kurtosis, percentile)

Min and max of coverage intervall using the normal distribution

Parameters:

• mean –
• var –
• skew –
• kurtosis –
• percentile – percent of coverage

Returns:

output_pdf(mean, var, skew, kurtosis, x_list)

Function to plot the normal output pdf

Parameters:

• mean –
• var –
• skew –
• kurtosis –
• x_list –

Returns:

class skgpuppy.PDF.PDF

Bases: object

Superclass for normal and skew normal distributions. This class provides methods for plotting and getting quantiles.

estimate_min_max(mean, var, skew, kurtosis, percentile)

Min and max of coverage intervall

Parameters:

• mean –
• var –
• skew –
• kurtosis –
• percentile – percent of coverage

Returns:

output_pdf(mean, var, skew, kurtosis, x_list)

Function to plot the output pdf

Parameters:

• mean –
• var –
• skew –
• kurtosis –
• x_list –

Returns:

class skgpuppy.PDF.Skew_Normal

Bases: skgpuppy.PDF.PDF

estimate_min_max(mean, var, skew, kurtosis, percentile)

Min and max of coverage intervall using the skew normal

Parameters:

• mean –
• var –
• skew –
• percentile – percent of coverage

Returns:

output_pdf(mean, var, skew, kurtosis, x_list)

Helper function to plot the skew normal

Parameters:

• mean –
• var –
• skew –
• x_list –

Returns: