Identification and qualitative comparison of sensitivity analysis methods that have been used
across various disciplines, and that merit consideration for application to foodsafety risk …

A (mathematical or otherwise) model study is a phenomenon in which the quality depends
on the knowledge of this phenomenon. This model can be associated with different sources …

In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …

Hazard identification is a common step in the hazard analysis and risk-assessment
processes. The fact that this step is shared between the two processes is creating some …

Mathematical models are utilized to approximate various highly complex engineering,
physical, environmental, social, and economic phenomena. Model parameters exerting the …

Fourteen years after Science's review of sensitivity analysis (SA) methods in 1989 (System
analysis at molecular scale, by H. Rabitz) we search Science Online to identify and then …

We review briefly some examples that would support an extended role for quantitative
sensitivity analysis in the context of modelbased analysis (Section 1). We then review what …

Variance-based sensitivity indices have established themselves as a reference amongst
practitioners of sensitivity analysis of model outputs. A variance-based sensitivity analysis …

This book is an expository introduction to the methodology of sensitivity analysis of model
output. It is primarily intended for investigators, students and researchers that are familiar …

The use of Statistics in risk assessment studied is an expanding field where the selection of
the proper technique is often difficult to make. This is the case with the sensitivity analysis …