Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Co Pte Ltd, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Co Pte Ltd, 2003
ISBN 10: 9812383565 ISBN 13: 9789812383563
Language: English
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Published by World Scientific Publishing Co Pte Ltd 2003-06-13, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Pub Co Inc, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Add to basketPaperback. Condition: Brand New. 352 pages. 9.06x6.14x0.94 inches. In Stock.
Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Published by World Scientific Publishing Company, 2003
ISBN 10: 9814447951 ISBN 13: 9789814447959
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a multi-level introduction to Bayesian reasoning (as opposed to 'conventional statistics') and its applications to data analysis. The basic ideas of this 'new' approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide under well-defined assumptions! with 'standard' methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.