Abstract
Today's environmental engineer faces many uncertainties in designing systems to address environmental concerns. Uncertainties arising from a lack of information may range from population forecasts of the projected benefits of technologies designed to reduce global warming impacts to remedial levels for hazardous waste posing the least amount of risk. Quantitative assessments of uncertainty and variability using such methods as Bayesian statistics are more convincing than those using rules of thumb and other, less-formal arguments. It can provide a rigorous assessment of risk based on the information available.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 21-26 |
| Number of pages | 6 |
| Journal | Journal of Management in Engineering |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 1 2000 |
ASJC Scopus subject areas
- Industrial relations
- Engineering(all)
- Strategy and Management
- Management Science and Operations Research
Fingerprint Dive into the research topics of 'Bayesian statistics in environmental engineering planning'. Together they form a unique fingerprint.
Cite this
Englehardt, J. D., & Simon, T. W. (2000). Bayesian statistics in environmental engineering planning. Journal of Management in Engineering, 16(5), 21-26. https://doi.org/10.1061/(ASCE)0742-597X(2000)16:5(21)