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 ...
Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...
In this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...
Abstract: The normal distribution model has strong application in mathematical and statistical research. In communication system, each electron component has a safety score, aiming to measure the its ...
Validation of a chemotherapy toxicity prediction model in older adults with cancer in Taiwan. This is an ASCO Meeting Abstract from the ASCO Breakthrough: A Global Summit for Oncology Innovators. This ...
1 School of Software, Taiyuan University of Technology, Taiyuan, Shanxi, China 2 Information Management Department, Shanxi Provincial People’s Hospital, Taiyuan, Shanxi, China Introduction: ...
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 ...
ABSTRACT: This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems ...
College of Engineering and Technology, University of Science and Technology of Fujairah, Fujairah, United Arab Emirates This work aims to evaluate different error ...
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