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

Introduction Human papillomavirus (HPV) vaccines have been introduced in the Chinese market since 2016. However, the HPV ...

Probability distributions are fundamental tools in statistics and probability theory, offering a mathematical framework to describe the likelihood of different outcomes in a random experiment or ...

Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

Abstract: Entropy region is a set consisting of the entropic vector corresponding to every discrete probability distribution. Both its outer bound consisting of Shannon-type inequalities and inner ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

I am new to using SALib and currently, I have a model that contains continuous and discrete input variables. I read the closed issues and understood the workaround of rounding the floats to integers ...

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 ...