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The information method: Theory and application [PDF]
, 2007 When estimating the extent of e.g. excess use of public benefits one traditionally uses direct monitoring. Such direct estimates are afflicted with an intrinsic negative bias since you only count what you find. This paper presents and assesses an alternative intuitive, yet relatively unexplored, approach that may reduce the bias by making use of the ...
Engström, Per, Hesselius, Patrik
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Radiographic information theory and application to mammography
Medical Physics, 1982A theoretical estimate is made for the lowest exposure necessary to record the smallest feature of interest, using various radiographic detecting surfaces and allowing for the probability of making errors to be within certain specified bounds. These calculated exposures are compared with the actual exposures given in clinical situations in order that ...
I, Brodie, R A, Gutcheck
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Application of Holder’s inequality in information theory
Information Sciences, 2003The authors introduce two `useful' measures of information, namely \[ H_{\alpha} (P^{\beta}; U) = {1 \over {1-\alpha}} \log \sum_{i=1}^n \left ( {{p_i^{\beta\alpha} u_i } \over {\sum_{i=1}^n p_i^{\beta\alpha} u_i}}\right ) \] and \[ H_R (P; U) = {{R} \over {R-1}} \left [ 1 - \left \{ \sum_{i=1}^n \left ( {{u_i p_i^R} \over {\sum_{i=1}^n u_i p_i^R ...
Singh, R. P. +2 more
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Applications of Information Theory
1984The developments in technology over the last few years and the emergence of Information Technology as a new scientific discipline have greatly increased the practical applications of Information Theory. However, technological progress has been so rapid that many would-be information technologists have been unable to develop the necessary theoretical ...
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Information Theory and Its Application to Taxonomy
Journal of Applied Physics, 1952A possible source of confusion between the concept of information content and entropy in the theory of information is discussed and resolved. Information theory is then applied to the problem of taxonomy or classification of data and several models are discussed, representative of various possible methods of filing data with the purpose of determining ...
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Applications of Formalized Information Theory
2015In previous chapters, the authors provided a comprehensive framework that can be used in the formal probabilistic and information-theoretic analysis of a wide range of systems and protocols. In this chapter, they illustrate the usefulness of conducting this analysis using theorem proving by tackling a number of applications including a data compression
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Incomplete Information and Informative Pricing: Theory and Application [PDF]
, 2008 This paper studies the information contained in the equilibrium aggregate price level of an economy where firms make output price decisions faced with incomplete information about economy-wide disturbances. It is shown that when heterogeneously informed firms are allowed to extract information from the equilibrium aggregate price, the ability of the ...
University of California +1 more
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Information Theory Applications in Soft Computing
2016An overview of information theory metrics and the ranges of their values for extreme probability cases is provided. Imprecise database models including similarity based fuzzy models and rough set models are described. Various entropy measures for these database models’ content and responses to querying is provided.
Paul Elmore, Frederick Petry
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On Economic Applications of Information Theory
2018In many of his writings, lectures and talks Pedro Gil emphasized the wide variety of economic applications of Information Theory. In this paper, as a tribute to him, we aim to provide some insight into this topic, mainly referred to income inequality, industrial concentration and economic forecasting.
Rigoberto Pérez +4 more
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Quantum information technology: Theory and applications
2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), 2015In the last decade quantum information theory and technology evolve and show their great potential. There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent. The best known example is Quantum Key Distribution, though there are quantum non-locality (entanglement ...
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