In this lesson, we looked at a CDF as a so-called "percentile probability function" of discrete or continuous random variables. You learned how to calculate and visualize a CDF and how to use them to ...

In this lesson, we looked at a CDF as a so-called "percentile probability function" of discrete or continuous random variables. You learned how to calculate and visualize a CDF and how to use them to ...

For continuous random variables, you would integrate your PDF from negative infinity (or lower bound) to your specified value x. Instead of using PDF integration and calculus, finding the CDF is often ...

Previously suggested methods for constructing confidence bands for cumulative distribution functions have been based on the classical Kolmogorov-Smirnov test for an empirical distribution function.

The cumulative distribution function (cdf) of a sum of correlated or even independent lognormal random variables (RVs), which is of wide interest in wireless communications, remains unsolved despite ...

However, the cumulative distribution function (cdf) of the Beckmann random variable (RV) does not have a closed-form expression, which makes it challenging to derive analytical solutions for the ...

Let x and y be two random variables with continuous cumulative distribution functions f and g. A statistic U depending on the relative ranks of the x's and y's is proposed for testing the hypothesis f ...