Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...

Discover what a log-normal distribution is, its financial applications, and how to calculate it, including using Excel for ...

The distribution of has been studied by several authors especially when and are independent random variables and come from the same family. However, there is relatively little work of this kind when ...

In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has ...

Users of small and personal computers do not have access to the libraries of generators of random variables provided by experts which have been common on large computer installations. This tutorial ...

Background: Race is a social construct reflecting broader systemic forces that can affect health, including mental health. We sought to ascertain whether patterns of mental health care service use are ...

Time series forecasting has undergone an extensive transformation from deterministic point predictions to sophisticated probabilistic approaches. This paradigm shift represents a fundamental change in ...

Over very long intervals, short-term random fluctuations (“noise”) cancel one another – and ever clearer and steadier signals emerge.

The sooner we stop humanising algorithms, the sooner we can regulate them for what they are: probability distributions that can alter the stability and resilience of our financial system.

Probability & Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis. Physics (10+2 level) General ...