Estimated parameters as independent variables : with an application to the costs of electric generating units

"June 1984."

Bibliographic Details
Other Authors: Schmalensee, Richard.
Language:eng
Published: Massachusetts Institute of Technology 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/2086
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author_facet Schmalensee, Richard.
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description "June 1984."
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spelling mit-1721.1/20862019-04-11T03:08:18Z Estimated parameters as independent variables : with an application to the costs of electric generating units Schmalensee, Richard. Joskow, Paul L. Sloan School of Management. HD28 .M414 no.1575-, 84 Electric power-plants Cost of construction Mathematical models Parameter estimation "June 1984." Bibliography: p. 33-34. by Richard Schmalensee and Paul L. Joskow. 2003-04-29T04:57:04Z 2003-04-29T04:57:04Z 1984 WP #1575-84 http://hdl.handle.net/1721.1/2086 eng Working paper (Sloan School of Management) ; 1575-84. 39 p. 2311924 bytes application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle HD28 .M414 no.1575-, 84
Electric power-plants Cost of construction Mathematical models
Parameter estimation
Estimated parameters as independent variables : with an application to the costs of electric generating units
title Estimated parameters as independent variables : with an application to the costs of electric generating units
title_full Estimated parameters as independent variables : with an application to the costs of electric generating units
title_fullStr Estimated parameters as independent variables : with an application to the costs of electric generating units
title_full_unstemmed Estimated parameters as independent variables : with an application to the costs of electric generating units
title_short Estimated parameters as independent variables : with an application to the costs of electric generating units
title_sort estimated parameters as independent variables with an application to the costs of electric generating units
topic HD28 .M414 no.1575-, 84
Electric power-plants Cost of construction Mathematical models
Parameter estimation
url http://hdl.handle.net/1721.1/2086