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 ...

First baseline result: Building neural muscle for probability distributions through hands-on simulation and theory — not by staring at formulas, but by plotting, simulating, and explaining. This ...

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 ...

ABSTRACT: The aim of this paper is to present generalized log-Lindely (GLL) distribution, as a new model, and find doubly truncated generalized log-Lindely (DTGLL) distribution, truncation in ...

Abstract: In this paper, a cumulative distribution function (CDF)-based scheduling scheme for uplink non-orthogonal multiple access (NOMA) network is investigated. With considering imperfect ...