IEEE

Closed-Form Expression for the Poisson-Binomial Probability Density Function

Abstract: The Poisson-binomial probability density function (pdf) describes the numbers of successes in N independent trials, when the individual probabilities of success vary across trials. Its use ...
Investopedia

Probability Distribution Methods to Predict Stock Profits

David Harper is the CEO and founder of Bionic Turtle. He is also a published author with a popular YouTube channel on expert finance topics. Probability distributions help investors model uncertainty ...
PNAS

Cumulative access to print books improves literacy achievement: Evidence from a five-year randomized trial in high-poverty schools

Research spanning more than a century suggests children growing up with more books at home perform better in school. What remains unclear is whether access to more books directly improves outcomes or ...
Investopedia

Uniform Distribution: Definition, How It Works, and Examples

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...
snmjournals.org

Cumulative Absorbed Dose and Successive Cyclic Reduction in Absorbed Dose Predict Response to

Journal of Nuclear Medicine January 2026, jnumed.125.271039; DOI: https://doi.org/10.2967/jnumed.125.271039 ...
Scientific Research Publishing

Cumulative Link Ordinal Outcome Neural Networks: An Evaluation of Current Methodology ()

Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA. Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional ...
IEEE

Using the Empirical Attainment Function for Analyzing Single-Objective Black-Box Optimization Algorithms

Abstract: A widely accepted way to assess the performance of iterative black-box optimizers is to analyze their empirical cumulative distribution function (ECDF) of predefined quality targets achieved ...