Abstract: In this letter, a highly accurate approximate approach for the sum of arbitrary correlated Weibull random variables is proposed. Specifically, closed-form approximate expressions for the ...

Abstract: In this work, we propose a unified approach to evaluating the CDF and PDF of indefinite quadratic forms in Gaussian random variables. Such a quantity appears in many applications in ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

R package, implementing a three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of ...

Editor’s Note, May 4, 2026: After our latest round of hands-on testing, we added four new sanders, including a new recommendation for the best overall, the Makita BO5030K Random Orbital Sander. It ...

1 Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK 2 Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK 3 Division ...

A random number generator (RNG) is a type of algorithm or hardware device that can produce a series of arbitrary numbers. The quality of an RNG is often measured by its ability to produce ...

Generating a random number might seem like an easy task, but it can be surprisingly difficult — especially if the probability distribution from which the number is drawn is complex. This is often the ...

System and User Environment Variables have always been a complex topic of discussion for day-to-day Windows OS users. What do they do? A tutorial on the internet said to add a PATH variable, but what ...

We develop new tools for estimating the causal effects of treatments or instruments that combine multiple sources of variation according to a known formula. Examples include treatments capturing ...