In [14], Sanov proved that if FN is the empirical cumulative distribution function (cdf) of a sample drawn from a population whose true cdf is F0 and Ω is a set of cdf's which satisfies certain ...
"If $X$ is a discrete variable with a finite range $R_X = \\{x_1,x_2,x_3...\\}$, the **probability mass function** (PMF) of $X$ is \n", ...
The Probability Density Function (PDF) describes the likelihood of a continuous random variable taking on a particular value. In other words, it gives you the relative probability of a random variable ...