We want to generate 10,000 Uniformly distributed random number on [0,1] using LGM and compare with built-in python function. LGM empirical mean = 0.4996 LGM empirical standard deviation = 0.2872 Built ...

The normal approximation to the binomial test with and without a continuity correction is evaluated in terms of control of Type I errors and power. The normal ...

The reader should be familiar with Random Variables. We are going to discuss about binomial random variable which is a discrete random variable that counts the number of times a specific event occurs ...

In the early development of probability theory, only discrete random variables (although not called random variables at the time) were considered. Isaac Newton (1643-1727) considered the idea of ...

ABSTRACT: When P indistinguishable balls are randomly distributed among L distinguishable boxes, and considering the dense system , our natural intuition tells us that the box with the average number ...

Abstract: Sums of lognormal random variables (RVs) occur in many important problems in wireless communication. The lognormal sum distribution is known to have no closed form and is difficult to ...