ScaledInvChiSquareDistribution#

class ScaledInverseChiSquareDistribution(amplitude: float = 1.0, df: float = 1.0, scale: float = 1.0, loc: float = 0.0, normalize: bool = False)[source]#

Bases: BaseDistribution

Attributes:

mean: The mean of the distribution.
median: The median of the distribution.
mode: The mode of the distribution.
stddev: The standard deviation of the distribution.
variance: The variance of the distribution.

Methods

`cdf`(x)	Compute the cumulative density function (CDF) for the distribution.
`logcdf`(x)	Compute the log cumulative density function (logCDF) for the distribution.
`logpdf`(x)	Compute the log probability density function (logPDF) for the distribution.
`pdf`(x)	Compute the probability density function (PDF) for the distribution.
`stats`()	Computes and returns the statistical properties of the distribution, including,

scipy_like

cdf(x)[source]#

Compute the cumulative density function (CDF) for the distribution.

Parameters:: x – Input array at which to evaluate the CDF.

logcdf(x)[source]#

Compute the log cumulative density function (logCDF) for the distribution.

Parameters:: x – Input array at which to evaluate the logCDF.

logpdf(x)[source]#

Compute the log probability density function (logPDF) for the distribution.

Parameters:: x – Input array at which to evaluate the logPDF.

pdf(x)[source]#

Compute the probability density function (PDF) for the distribution.

Parameters:: x – Input array at which to evaluate the PDF.

stats()[source]#

Computes and returns the statistical properties of the distribution, including,

mean,
median,
variance, and
standard deviation.

Returns:: A dictionary containing statistical properties such as mean, variance, etc.
Return type:: Dict[str, float]

Notes

If any of the parameter is not computable for a distribution, this method returns None.

property mean#: The mean of the distribution.

property median#: The median of the distribution.

property mode#: The mode of the distribution.

property stddev#: The standard deviation of the distribution.

property variance#: The variance of the distribution.

This class internally utilizes the following functions from utilities_d module:

Recommended Import#

from pymultifit.distributions import ScaledInverseChiSquareDistribution

Full Import#

from pymultifit.distributions.scaledInvChiSquare_d import ScaledInverseChiSquareDistribution