ARGUS distribution

The parameters, chi and scale, follow the conventions used in the wikipedia article https://en.wikipedia.org/wiki/ARGUS_distribution.

Note that the parameter c in the wikipedia article is called scale here.

mpsci.distributions.argus.cdf(x, chi, scale)

CDF of the ARGUS probability distribution.

mpsci.distributions.argus.invcdf(p, chi, scale, solver='bisect', **kwargs)

Inverse of the CDF for the ARGUS distribution.

Also known as the quantile function.

Additional keyword arguments are passed on to mp.findroot().

If not given in kwargs, this function overrides the default maxsteps of mp.findroot and uses (in effect) 4*mp.prec.

Experimental!

mpsci.distributions.argus.invsf(p, chi, scale, solver='bisect', **kwargs)

Inverse of the survival function for the ARGUS distribution.

Also known as the complemented quantile function.

Additional keyword arguments are passed on to mp.findroot().

If not given in kwargs, this function overrides the default maxsteps of mp.findroot and uses (in effect) 4*mp.prec.

Experimental!

mpsci.distributions.argus.logpdf(x, chi, scale)

Logarithm of the PDF of the ARGUS probability distribution.

mpsci.distributions.argus.mean(chi, scale)

Mean of the ARGUS distribution.

mpsci.distributions.argus.mode(chi, scale)

Mode of the ARGUS distribution.

mpsci.distributions.argus.pdf(x, chi, scale)

PDF of the ARGUS probability distribution.

mpsci.distributions.argus.sf(x, chi, scale)

Survival function of the ARGUS probability distribution.

mpsci.distributions.argus.support(chi, scale)

Support of the ARGUS probability distribution.

mpsci.distributions.argus.var(chi, scale)

Variance of the ARGUS distribution.