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The entropy concept was developed and used by Shannon in 1940 as a measure of uncertainty in the context of information … theory. In 1957 Jaynes made use of Shannon's entropy concept as a basis for estimation and inference in problems that are ill … econometric methods based on the entropy principle. An interesting array of applications is presented in the second section of the …
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Front Matter -- Copyright -- Contents -- About the editors -- Contributors -- Preface -- 1. Reflections on entropy …, complexity and spatial dynamics: the rebirth of theory? -- PART A ENTROPY, SPACE AND COMPLEXITY -- 2. Entropy in urban and … regional modelling -- 3. Recent applications of entropy in social and environmental sciences -- 4. Entropy and complexity in …
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There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the...
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This book shows the potential of entropy and information theory in forecasting, including both theoretical developments … exchange composite indices, among others. In summary, this collection provides an engaging insight into entropy applications …
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. Stochastic Frontier Analysis with Maximum Entropy Estimation (Pedro Macedo). … like corrected ordinary least squares and maximum entropy. …
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