A Maximum Entropy Approach to Estimating Emissions

Journal of the Air and Waste Management Association

Volumn 49, Issue 8, 1999, Pages 943-950

  Anex, Robert P ^a   Lund, Jay R ^b   Grant, Robert ^c  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b University of California   (United States)

^c CALIFORNIA AIR RESOURCES BOARD   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

VOLATILE ORGANIC COMPOUND;

AIR QUALITY; ARTICLE; ENTROPY; ENVIRONMENTAL PROTECTION; INDUSTRIAL WASTE; PRIORITY JOURNAL; PROBABILITY; RISK ASSESSMENT; STATISTICAL MODEL; WOOD;

EID: 0032884680     PISSN: 10473289     EISSN: None     Source Type: Journal    
DOI: 10.1080/10473289.1999.10463859     Document Type: Article

References (24)

1. Anex, R.P.; Lund, J.R.; Grant, R. Final Report: Industrial Surface Coatings-Wood Furniture and Fixtures Emission Inventory Development, Prepared for the California Air Resource Board; October 1997.
2. Bevington, P.R.; Robinson, D.K. Data Reduction and Error Analysis for the Physical Sciences; McGraw-Hill: New York, 1992; pp. 41-49.
3. Hamed, M.M.; Bedient, P.B. "On the effect of probability distributions of input variables in public health risk assessment," Risk Anal. 1997, 17, 97-105.
4. Haas, C. "Importance of distributional form in characterizing inputs to Monte Carlo risk assessments," Risk Anal. 1997, 17, 107-113.
5. Bukowski, J.; Korn, L.; Wartenberg, D. "Correlated inputs in quantitative risk assessment: the effects of distributional shape," Risk Anal. 1995, 15, 215-219.
6. Lenox, M.J.; Haimes, Y.Y. "The constrained extremal distribution selection method," Risk Anal. 1996, 16, 161-176.
7. Lambert, J.; Matalas, J.; Ling, C.; Haimes, Y.; Li, D. "Selection of probability distributions in characterizing risk of extreme events," Risk Anal. 1996, 14, 61-72.
8. Seiler, F.A.; Alvarez, J.L. "On the selection of distributions for stochastic variables," Risk Anal. 1996, 16, 5-18.
9. Ferson, S.; Moore, D.R.J. Six Methods to Use When Information Is Limited (as It Always Is). In Proceedings of the Annual Meeting of the Society for Risk Analysis; Society for Risk Analysis: McLean, VA, 1997.
10. Shannon, C.E. The mathematical theory of communication. In The Mathematical Theory of Communication; Shannon, C.E. and Weaver, W., Eds.; Univ. of Illinois: Urbana, IL,1949.
11. Jaynes, E.T. "Information theory and statistical mechanics," Phys. Rev. 1957, 106, 620-630.
12. Tribus, M. Rational Descriptions, Decisions and Designs; Pergamon: New York, 1969; pp. 120-148.
13. Englehardt, J.D.; Lund, J.R. "Information theory in risk analysis," J. Environ. Eng. 1993, 118, 890-904.
14. Englehardt, J.D. "Predicting incident size from limited information," J. Environ. Eng. 1995, 121, 455-464.
15. Golan, A.; Judge, G.; Karp, L. "A maximum entropy approach to estimation and inference in dynamic models or counting fish in the sea using maximum entropy," J. Econ. Dynamics and Control 1996, 20, 559-582.
16. U.S. Environmental Protection Agency. Volatile Organic Compound Emissions from Consumer and Commercial Products, Volume 2: Comprehensive Emissions Inventory; Office of Air Quality Planning and Standards; U.S. Government Printing Office: Washington, DC, 1994.
17. U.S. Department of Commerce. County Business Patterns 1993: California; U.S. Government Printing Office: Washington, DC, 1993; CBP-93-6.
18. State of California Air Resources Board (CARB). Survey of Paint and Other Manufacturers Industries; Stationary Source Division, CArB: Sacramento, CA, 1977.
19. State of California Air Resources Board. Methods for Assessing Area Source Emissions in California; CARB: Sacramento, CA, 1982.
20. Survey of Wood Coating Facilities. Sacramento Metropolitan Air Quality Management District, 1994.
21. Box, G.E.P.; Tiao, G.C. Bayesian Inference in Statistical Analysis; Addison-Wesley: Reading, PA, 1973; p. 14.
22. Ramsey, F.P. The Foundation of Mathematics and Other Logical Essays; Routledge and Kegan Paul: London, 1931.
23. Savage, L.J. The Foundations of Statistics; 2nd rev. ed.; Dover: New York, 1972.
24. Law, A.M.; Kelton, W.D. Simulation, Modeling and Analysis; McGraw-Hill: New York, 1991; p. 465.