The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF). Based upon ...

Tory and Brianna Welfring's tiny home in Boise's North End. They are part of the City of Boise's pilot program to test their feasibility. Photo: Erin Banks Rusby/BoiseDev The Boise City Council opted ...

This comprehensive study meticulously evaluated six probability distribution models for the compressive strength of 24 concrete blocks, 12 with metakaolin and 12 without addition. The models analyzed ...

A simulation of an ACPC Grading System Server where multiple computers process incoming tasks. The system handles exponential interarrival and service times with a FIFO queue mechanism and calculates ...

Cumulative Probability Distribution Functions (CDFs) Learn how to work with cumulative probability distribution functions (CDFs) for both discrete and continuous random variables. In this video, we ...

Abstract: It is shown that the second-order exponential probability-density function (pdf) given by Barrick [1] fails to meet an essential statistical requirement. By applying a nonlinear ...

Abstract: While probability distribution functions are crucial for simulating random processes, research on these functions and their features is required. However, studies have demonstrated that in ...

Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia This study introduces a five-parameter continuous probability model named the Beta-Exponential-Gaussian distribution by ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...