\textbf{Definition} We say a continuous random variable $\mathbb{X}$ is a uniformly distributed in [a, b], denoted $\mathbb{X} \sim uniform(a, b)$ if **Property** If ...

Generate two uniform random variables X and Y. These random variables are discrete uniformly distributed variables with 𝜇𝑋 ≈ 15, 𝜇𝑌 ≈ 0, and 𝜎𝑋 ≈ 𝜎𝑌 ≈ 6. Each variable should include 1000 ...

The accurate characterization of input processes for simulation models can require the representation of dependencies among input values. Results are presented on the generation of dependent ...

The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...

Brazilian Journal of Probability and Statistics, Vol. 35, No. 3 (2021), pp. 435-441 (7 pages) The aim of this note is to give an elegant proof of a result due to E. G. Olds which concerns the density ...