Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
We present an analytical and numerical study of the velocity distribution function of self gravitating collisionless particles, which include dark matter and star clusters. We show that the velocity ...
This RFC proposes the addition of operations (e.g. sum, difference, random sample) for statistical distributions (namely, the normal distribution. I am not versed in statistics and am not aware of the ...
Abstract: Hot carrier injection (HCI) has been strategically leveraged to enhance the stability of SRAM physically unclonable functions (PUFs). Since the effects of HCI are not constant, exhibiting ...
1 Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia 2 Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia The main purpose of this paper is to ...
ABSTRACT: Analytical functions which fit the probability distributions of stars and galaxies can provide insight into how these distributions originate. In order to introduce a truncated version of ...
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 brief proposes a novel Combined-Statistical-Distribution generalized maximum correntropy algorithm with affine projection to improve the convergence rate and tracking ability in system ...
This article aimed to present a new continuous probability density function for a non-negative random variable that serves as an alternative to some bounded domain distributions. The new distribution, ...