Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: An efficient method for generating samples of two uniformly distributed random variables (RVs) on the interval (- 1,1) with prescribed correlation coefficients is proposed in this article.

Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...

The expected value of a random variable is a fundamental concept in probability theory, statistics, and decision theory. It represents the average value we would expect to obtain if we were to repeat ...

Belle Wong is a freelance writer specializing in small business, personal finance, banking, and tech/SAAS. She spends her spare moments testing out the latest productivity apps and plotting her latest ...

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...

ABSTRACT: The behavior of beams with variable stiffness subjected to the action of variable loadings (impulse or harmonic) is analyzed in this paper using the successive approximation method. This ...

Roll a die and ask students to identify the random variable. Since a die can only take on values of 1, 2, 3, 4, 5, or 6, this is a discrete random variable. Repeat ...

A random variable is a variable whose possible values are numerical outcomes of a random phenomenon. It is a fundamental concept in probability and statistics, used to quantify and analyze random ...