Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models. Volume 1. Theory and Methodology Based Upon Bootstrap Simulation
Abstract
This is Volume 1 of a two-volume set of reports describing work conducted at North Carolina State University sponsored by Grant Number DE-FG05-95ER30250 by the U.S. Department of Energy. The title of the project is “Quantitative Analysis of Variability and Uncertainty in Acid Rain Assessments.” The work conducted under sponsorship of this grant pertains primarily to two main topics: (1) development of new methods for quantitative analysis of variability and uncertainty applicable to any type of model; and (2) analysis of variability and uncertainty in the performance, emissions, and cost of electric power plant combustion-based NOx control technologies. These two main topics are reported separately in Volumes 1 and 2.
- Authors:
- Publication Date:
- Research Org.:
- North Carolina State University, Raleigh, NC (United States). Dept. of Civil Engineering
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1178941
- Report Number(s):
- DOE/ER/30250-Vol.1
- DOE Contract Number:
- FG05-95ER30250
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Frey, H. Christopher, and Rhodes, David S. Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models. Volume 1. Theory and Methodology Based Upon Bootstrap Simulation. United States: N. p., 1999.
Web. doi:10.2172/1178941.
Frey, H. Christopher, & Rhodes, David S. Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models. Volume 1. Theory and Methodology Based Upon Bootstrap Simulation. United States. https://doi.org/10.2172/1178941
Frey, H. Christopher, and Rhodes, David S. 1999.
"Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models. Volume 1. Theory and Methodology Based Upon Bootstrap Simulation". United States. https://doi.org/10.2172/1178941. https://www.osti.gov/servlets/purl/1178941.
@article{osti_1178941,
title = {Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models. Volume 1. Theory and Methodology Based Upon Bootstrap Simulation},
author = {Frey, H. Christopher and Rhodes, David S.},
abstractNote = {This is Volume 1 of a two-volume set of reports describing work conducted at North Carolina State University sponsored by Grant Number DE-FG05-95ER30250 by the U.S. Department of Energy. The title of the project is “Quantitative Analysis of Variability and Uncertainty in Acid Rain Assessments.” The work conducted under sponsorship of this grant pertains primarily to two main topics: (1) development of new methods for quantitative analysis of variability and uncertainty applicable to any type of model; and (2) analysis of variability and uncertainty in the performance, emissions, and cost of electric power plant combustion-based NOx control technologies. These two main topics are reported separately in Volumes 1 and 2.},
doi = {10.2172/1178941},
url = {https://www.osti.gov/biblio/1178941},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Apr 30 00:00:00 EDT 1999},
month = {Fri Apr 30 00:00:00 EDT 1999}
}
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