Maximum Entropy and Bayesian Methods in Applied Statistics
Justice James H.
ISBN 10: 0521096030 ISBN 13: 9780521096034
Editore: Cambridge University Press, 2009
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This collection of papers contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application.
Descrizione del libro: This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data.
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Titolo: Maximum Entropy and Bayesian Methods in ...
Casa editrice: Cambridge University Press
Data di pubblicazione: 2009
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Maximum Entropy and Bayesian Methods in Applied Statistics: Proceedings of the Fourth Maximum Entropy Workshop University of Calgary, 1984
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Maximum Entropy and Bayesian Methods in Applied Statistics
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ISBN 13: 9780521096034
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Maximum Entropy and Bayesian Methods in Applied Statistics: Proceedings of the Fourth Maximum Entropy Workshop University of Calgary, 1984
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Cambridge University Press, 2009
ISBN 10: 0521096030
ISBN 13: 9780521096034
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Paperback. Condizione: Brand New. 1st edition. 329 pages. 9.53x6.61x0.79 inches. In Stock. This item is printed on demand. Codice articolo __0521096030
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Maximum Entropy and Bayesian Methods in Applied Statistics: Proceedings of the Fourth Maximum Entropy Workshop University of Calgary, 1984
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Maximum Entropy and Bayesian Methods in Applied Statistics (Paperback)
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ISBN 13: 9780521096034
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Paperback. Condizione: new. Paperback. This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied. This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521096034
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Maximum Entropy and Bayesian Methods in Applied Statistics: Proceedings of the Fourth Maximum Entropy Workshop University of Calgary, 1984
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Cambridge University Press, 2009
ISBN 10: 0521096030
ISBN 13: 9780521096034
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Maximum Entropy and Bayesian Methods in Applied Statistics
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is. Codice articolo 446924741
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Maximum Entropy and Bayesian Methods in Applied Statistics (Paperback)
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ISBN 10: 0521096030
ISBN 13: 9780521096034
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Paperback. Condizione: new. Paperback. This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied. This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521096034
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Maximum Entropy and Bayesian Methods in Applied Statistics
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ISBN 13: 9780521096034
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Taschenbuch. Condizione: Neu. Maximum Entropy and Bayesian Methods in Applied Statistics | James H. Justice | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | Cambridge University Press | EAN 9780521096034 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 101716309
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Maximum Entropy and Bayesian Methods in Applied Statistics (Paperback)
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Cambridge University Press, Cambridge, 2009
ISBN 10: 0521096030
ISBN 13: 9780521096034
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Paperback. Condizione: new. Paperback. This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied. This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780521096034
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