The Template:Infobox probability distribution generates a right-hand side infobox, based on the specified parameters. To use this template, copy the following code in your article and fill in as appropriate:
{{infopolje Verjetnostna porazdelitev| name =| type =| pdf_image =| cdf_image =| notation =| parameters =| support =| pdf =| cdf =| quantile =| mean =| median =| mode =| variance =| mad =| skewness =| kurtosis =| entropy =| cross_entropy =| mgf =| cf =| pgf =| fisher =| moments =| KLdiv =| JSDiv =| ES =| bPOE =}}
name — Name at the top of the infobox; should be the name of the distribution without the word "distribution" in it, e.g. "Normal", "Exponential" (optional).
type — possible values are “discrete” (or “mass”), “continuous” (or “density”), and “multivariate”.
pdf_image — probability density image-spec, such as: xxx.svg.
pdf_caption — probability density image caption
cdf_image — cumulative distribution image-spec, such as: yyy.svg.
cdf_caption — cumulative distribution image caption
notation — typical designation for this distribution, for example . The notation should include all the distribution parameters explained in the next cell.
parameters — parameters of the distribution family (such as μ and σ2 for the normal distribution).
support — the support of the distribution, which may depend on the parameters. Specify this as <math>x \in some set</math> for continuous distributions, and as <math>k \in some set</math> for discrete distributions.
pdf — probability density function (or probability mass function), such as: <math>\frac{\Gamma(r+k)}{k!\,\Gamma(r)}\,p^r\,(1-p)^k \!</math>. Please exclude the function label, such as “ƒ(x; μ,σ2)”.
cdf — cumulative distribution function, e.g.: <math>I_p(r,k+1)\text{ where }I_p(x,y)</math> is the [[regularized incomplete beta function]].
quantile — quantile function (or inverse cumulative distribution function). If is the CDF and is the quantile function, then
entropy — the differential information entropy, preferably expressed in unspecified units using base-unspecific log(.) rather than base-specific ln(.) which yields entropy in units of nats only.
mgf — the moment-generating function, for example: <math>\left(\frac{p}{1-(1-p) e^t}\right)^r \!</math>.
char or cf — the characteristic function, such as: <math>\left(\frac{p}{1-(1-p) e^{i\,t}}\right)^r \!</math>.
