The PMF function that we saw before works great for inspecting discrete random variables and calculating their expected values. However, we did see that when moving towards continuous random variables ...

Primary Goals: 🎯 Here are the primary goals we'll achieve in our joint distribution lesson: 🤝 Understanding joint probability mass function and joint cumulative distribution function and applying ...

The joint cumulative hazard function associated with a bivariate distribution is estimated by its empirical version which generalizes Nelson-Aalen's estimator. A test of independence for bivariate ...

Abstract: New, exact expressions for the bivariate Nakagami-q (Hoyt) processes with arbitrary correlation in a nonstationary environment are derived. More specifically, the following are obtained: ...

Upper and lower bounds are obtained for the cumulative distribution function of the sample median of a sample of size 2n + 1 drawn from a continuous population. It is shown that if the parent ...