Human exposure analysis has traditionally been concerned with inhalation and dietary exposure routes. For certain populations, like young children, dermal exposure can be the most significant route of ...

Semi-parametric models typically involve a finite-dimensional parameter $\boldsymbol{\theta}\in \Theta \subseteq {\Bbb R}^{k}$, along with an infinite-dimensional nuisance parameter f. Quite often, ...

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

Students of statistics and researchers in search of a stats review will appreciate the Probability-Distributions app designed by Dr. Matthew Bognar at the University of Iowa. The app includes ...

We use influence functions as a basic tool to study unconditional nonparametric and parametric expected shortfall (ES) estimators with regard to returns data influence, standard errors and coherence.

In risk analysis, researchers often fit many candidate distributions to frequency and severity data and select based on goodness-of-fit. In a new study published in Risk Sciences, the authors ...

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Eric's career includes extensive work in both public and ...