Let {Xk, k ≥ 1} be a sequence of independent, identically distributed nonnegative random variables with common distribution function F and finite expectation $\mu > 0$. Under the assumption that the ...

A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

Riju Joshi a, Jeffrey M. Wooldridge b, Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels, Annals of Economics and Statistics, No. 134 (June 2019), pp.