= Mixed probability distribution
{title2=$\mu=\alpha\mu_d+(1-\alpha)\mu_c$}
A <mixed probability distribution> combines a <discrete probability distribution> with a <continuous probability distribution>. For example, put probability $1/4$ at zero and probability $3/4$ into a <uniform distribution> on $(0,1)$. Its <cumulative distribution function> is $0$ for $x<0$, $1/4+3x/4$ for $0\leq x<1$, and $1$ for $x\geq1$. The jump at zero and the continuous increase both contribute; neither an ordinary <probability density function> alone nor a <probability mass function> alone describes the whole law.
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