Work

Being Sensitive to Uncertainty

Year: 2007

Type: article

Source: Computing in Science & Engineering

DOI: 10.1109/mcse.2007.27

Authors: Leon M. Arriola, James M. Hyman

Institutions: University of Wisconsin–Whitewater, Los Alamos National Laboratory

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: U.S. Department of Energy, Office of Science, National Nuclear Security Administration, Advanced Scientific Computing Research, Los Alamos National Laboratory

OpenAlex ID: W2083551778

FWCI: 8.459

Cites: 16

Cited by: 953

Related to: 10