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Entropy Methods For Recovering Information From Economic Models

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  • Miller, Douglas J.

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  • Miller, Douglas J., 1994. "Entropy Methods For Recovering Information From Economic Models," 1994 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses Risk, Technical Committee Meeting, March 24-26, 1994, Gulf Shores State Park, Alabama 271680, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    • Handle: RePEc:ags:rrsr94:271680
    DOI: 10.22004/ag.econ.271680
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    References listed on IDEAS

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    1. Albert Madansky, 1959. "Least squares estimation in finite Markov processes," Psychometrika, Springer;The Psychometric Society, vol. 24(2), pages 137-144, June.
    2. Jean-Jacques Laffont, 1989. "The Economics of Uncertainty and Information," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121360, December.
    3. Jacob Marschak, 1959. "Remarks on the Economics of Information," Cowles Foundation Discussion Papers 70, Cowles Foundation for Research in Economics, Yale University.
    4. T. C. Lee & G. G. Judge & T. Takayama, 1965. "On Estimating the Transition Probabilities of a Markov Process," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 742-762.
    5. Kim, C.S. & Schaible, Glenn D., 1988. "Estimation of Transition Probabilities Using Median Absolute Deviations," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 40(4), pages 1-8.
    6. V. G. Ashar & T. D. Wallace, 1963. "A Sampling Study of Minimum Absolute Deviations Estimators," Operations Research, INFORMS, vol. 11(5), pages 747-758, October.
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