Published by Cambridge University Press, 1986
ISBN 10: 0521323800 ISBN 13: 9780521323802
Language: English
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Published by Cambridge University Press, 1986
ISBN 10: 0521323800 ISBN 13: 9780521323802
Language: English
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Add to basketHardcover. Condition: Very Good. viii 319p large hardback, grey cover illustrated, text reproduced from typescript, name to endpaper, pages very clean and bright, a very good copy Language: English.
Published by Cambridge University Press, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
Language: English
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Published by Cambridge University Press 2009-11, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
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Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
Language: English
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Paperback. Condition: 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 multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press CUP, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
Language: English
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Published by Cambridge University Press, 1986
ISBN 10: 0521323800 ISBN 13: 9780521323802
Language: English
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Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
Language: English
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Add to basketPaperback. Condition: 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This collection of papers contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application.
Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
Language: English
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Add to basketPaperback. Condition: 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.
Published by Cambridge University Press, 1986
ISBN 10: 0521323800 ISBN 13: 9780521323802
Language: English
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ISBN 10: 0521096030 ISBN 13: 9780521096034
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Published by Cambridge University Press, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
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Add to basketPaperback. Condition: Brand New. 1st edition. 329 pages. 9.53x6.61x0.79 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
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Published by Cambridge University Press, 2009
ISBN 10: 0521096030 ISBN 13: 9780521096034
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Published by Cambridge University Press, 2008
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Add to basketCondition: 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.