Estimation of wastewater treatment objectives through maximum entropy

Journal of Environmental Economics and Management

Volumn 32, Issue 3, 1997, Pages 293-308

  Fernandez, Linda ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0030936404     PISSN: 00950696     EISSN: None     Source Type: Journal    
DOI: 10.1006/jeem.1997.0969     Document Type: Article

References (26)

1. Beck M. B. Modeling of dissolved oxygen in a non-tidal stream. Mathematical Models of Water Pollution Control. 1978;Wiley, Chichester.
2. Bertsekas D. Dynamic Programming and Stochastic Control. 1976;Academic Press, New York.
3. R. Bjork, 1994, El Estero Wastewater Treatment Plant, Santa Barbara.
4. California Regional Water Quality Control BoardSan Luis ObispoCA, 1994, National pollution discharge elimination system permit for the city of Santa Barbara El Estero Wastewater Treatment Plant and local sewering entity of Santa Barbara County.
5. Chow G. C. Analysis and Control of Dynamic Economic Systems. 1975;Wiley, New York.
6. Chow G. C. Econometrics. 1983;McGraw-Hill, New York.
7. EcomarSanta BarbaraCA, 1990, City of Santa Barbara NPDES Semi-annual Ocean Sampling.
8. U.S. Government Printing Office, Aug. 29, 1979, Federal Register, 44.
9. L. Fernandez, An application of entropy estimation to public wastewater management, Adv. Econometrics.
10. Fraas A., Munley V. Municipal wastewater treatment cost. J. Environ. Econom. Management. 11:1984;28-38.
11. Fulton M., Karp L. Estimating the objectives of a public firm in a natural resource industry. J. Environ. Econom. Management. 16:1989;268-287.
12. A. Golan, G. Judge, 1993, Recovering the parameters and forecasting in the case of ill-posed non-stationary inverse problems, University of California, Berkeley.
13. Golan A., Judge G., Karp L. S. A maximum entropy approach to estimation and inference in dynamic models or counting fish in the sea using maximum entropy. J. Econom. Dynam. Control. 20:1996;559-582.
14. Golan A., Judge G., Miller D. Maximum Entropy Econometrics. 1996;Wiley, New York.
15. Jameson A., Kriendler E. Inverse problem of linear optimal control. SIAM J. Control. 11:1973.
16. Jaynes E. T. Information theory and statistical mechanics. Phys. Rev. 106:1957a;620-630.
17. Jaynes E. T. Information theory and statistical mechanics II. Phys. Rev. 108:1957b;171-190.
18. G. G. Judge, A. Golan, 1992, Recovering information in the case of ill-posed inverse problems with noise, University of California.
19. A. Kneese, B. Bower, Managing Water Quality: Economics, Technology, Institutions, John Hopkins Press, Baltimore.
20. McConnell V. D., Schwarz G. S. The supply and demand for pollution control: Evidence from wastewater treatment. J. Environ. Econom. Management. 23:1992;54-77.
21. Salemi M. Revealed preference of the federal reserve: Using inverse-control theory to interpret the policy equation of a vector autoregression. J. Business Econom. Stat. 13:1995.
22. Santa Barbara Public Works Department, 1982-1993, El Estero Wastewater Treatment Plant Annual Reports.
23. Schwarz G. E., McConnell V. D. Local choice and wastewater treatment plant performance. Water Resources Res. 29:1993.
24. Shannon C. E. A mathematical theory of communication. Bell Syst. Tech. J. 27:1948;379-423.
25. State of California Water Resources Control BoardSacramento, 1990, California Ocean Plan.
26. Zielinski P. An approximation technique for stochastic environmental modeling. Water Resources Res. 29:1993.