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Zoran P. Perišić (2007)
Review of the National Center for Digitization
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Zoran P. Perišić (2007)
Review of the National Center for Digitization
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Simon French (1989)
Trabajos de Estadística
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At a recent conference in Innsbruck, held in memory of Bruno De Finetti, attention focused on one of his aphorisms: analysts should think about things. This paper seeks to do precisely that in the context of public examinations in England and Wales. It attempts to think about those quantitative things that are done to marks in the process of assessing candidate scripts. Public examinations are central to our education system: hundreds of thousands of candidates enter them every year....
Tang, Yue, Chen, Hao, Wang, Bo, Chen, Muzi, Chen, Min, Yang, Xiaoguang (2009)
Journal of Applied Mathematics and Decision Sciences
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Thomas Merkh, Guido F. Montúfar (2020)
Kybernetika
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We investigate the sets of joint probability distributions that maximize the average multi-information over a collection of margins. These functionals serve as proxies for maximizing the multi-information of a set of variables or the mutual information of two subsets of variables, at a lower computation and estimation complexity. We describe the maximizers and their relations to the maximizers of the multi-information and the mutual information.
Irwin Guttman, S. James Press (1980)
Trabajos de Estadística e Investigación Operativa
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Discussion on the paper by Geisser, Seymour, Predictive sample reuse techniques for censored data, part of a round table on Bayesian and non-Bayesian conditional inference held in the First International Congress on Bayesian Methods (Valencia, Spain, 28 May - 2 June 1979).
Albert Pérez (1970)
Kybernetika
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Krzysztof Moliński, Anita Dobek, Kamila Tomaszyk (2012)
Biometrical Letters
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This paper demonstrates the possible conclusions which can be drawn from an analysis of entropy and information. Because of its universality, entropy can be widely used in different subjects, especially in biomedicine. Based on simulated data the similarities and differences between the grouping of attributes and testing of their independencies are shown. It follows that a complete exploration of data sets requires both of these elements. A new concept introduced in this paper is that...