Titlebook: Econometrics of Information and Efficiency; Jati K. Sengupta Book 1993 Springer Science+Business Media B.V. 1993 agents.control theory.eco

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书目名称Econometrics of Information and Efficiency影响因子(影响力)




书目名称Econometrics of Information and Efficiency影响因子(影响力)学科排名




书目名称Econometrics of Information and Efficiency网络公开度




书目名称Econometrics of Information and Efficiency网络公开度学科排名




书目名称Econometrics of Information and Efficiency被引频次




书目名称Econometrics of Information and Efficiency被引频次学科排名




书目名称Econometrics of Information and Efficiency年度引用




书目名称Econometrics of Information and Efficiency年度引用学科排名




书目名称Econometrics of Information and Efficiency读者反馈




书目名称Econometrics of Information and Efficiency读者反馈学科排名

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Applied Information Theory,ng (see e.g., Jaynes 1957, Middleton 1964). The entropy concept has been defined in various ways (e.g., Hartley 1928, Shannon 1948, Wiener 1961, Renyi 1961) and used to characterize models of communication where signals are mixed with random noise and by using various codes the messages are sent thr

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Applications in Control Theory and Operations Research,ic economics over the last three decades. Our understanding of dynamic economic systems in the form of difference or differential equations over time has been greatly enhanced by developments in control theory, specifically in three areas: (1) the theory of econometric estimation for dynamic models

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Econometrics and Entropy Theory,conomic theory or otherwise. Pagan (1987) has surveyed these developments over the period 1966–86 and shown with reference to a linear regression model . how the classical assumptions about the error structure have been relaxed and generalized. From an applied standpoint some of the following genera

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Book 1993by Shannon and others has not played muchof a role in applied econometrics. .Econometrics of Information andEfficiency. bridges the gap..Broadly viewed, information theory analyzes the uncertainty of a givenset of data and its probabilistic characteristics. Whereas theeconomic theory of information

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Douglas Tong Kum Tien,Siow Chun Limncy in filtering various noise characteristics so that an optimal filter can be chosen for modeling and estimating the true state of a dynamical system. Economists have been using Kalman-type filtering methods in their control-theoretic models of economic policy for over the last two decades.

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Daniel P. Shepardson,Susan J. Britschimperfect information in two-person game theory models? and (5) Finally, how to estimate dynamic productive efficiency, when the observed inputoutput data are subject to risk aversion and dynamic changes in capital inputs over time?