Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...

This paper aims to construct a new transformed Weibull distribution model by mathematically transforming the Weibull distribution model. This model significantly enhances its applicability and ...

The Cumulative Distribution Function (CDF) is a fundamental concept in the field of statistics and probability theory. It describes the probability that a random variable takes on a value less than or ...

A Normal Distribution is also called “Gaussian Distribution” or more commonly known as “Bell Curve” as the probability distribution function plot of a normal distribution looks very like 🔔 ...

This paper introduces a truncated Weibull-exponential distribution and provides a thorough insight into its mathematical characteristics. These characteristics include moments, generating functions, ...

Abstract: This paper proposes a computationally efficient and accurate method to solve probabilistic power flow (PPF) and its global sensitivity analysis (GSA) problems of power distribution systems.

The convergence of digital technology and the internet has led to the emergence of complex digital networks utilizing ubiquitous electronic devices such as mobile phones and smart home appliances. As ...

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

Quantum annealing (QA) is a cutting-edge algorithm that leverages the unique properties of quantum computing to tackle complex combinatorial optimization problems (a class of mathematical problems ...

1 Department of Statistics and Analytical Sciences, Kennesaw State University, Kennesaw, USA. 2 Department of Mathematics and Statistics, East Tennessee State University, Johnson City, USA. what is ...

The ratio R of two random quantities is frequently encountered in probability and statistics. But while for unidimensional statistical variables the distribution of R can be computed relatively easily ...