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Añadir al carritoCondición: Fine. *Price HAS BEEN REDUCED by 10% until Monday, May 18 (sale item)* 279 pp., Paperback, spine slightly faded, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Publicado por British Archaeological Reports, 2000
ISBN 10: 1841710482 ISBN 13: 9781841710488
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Publicado por British Archaeological Reports Oxford Ltd 1/1/2000, 2000
ISBN 10: 1841710482 ISBN 13: 9781841710488
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Añadir al carritoPaperback or Softback. Condición: New. U.K. Chapter of Computer Applications and Quantitative Methods in Archaeology. Book.
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Publicado por British Archaeological Reports, 2000
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Publicado por British Archaeological Reports, 2000
ISBN 10: 1841710482 ISBN 13: 9781841710488
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Publicado por British Archaeological Reports, 2000
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Publicado por British Archaeological Reports, 2000
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Publicado por John Wiley and Sons Inc, US, 2006
ISBN 10: 0470029994 ISBN 13: 9780470029992
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Añadir al carritoHardback. Condición: New. Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples. This is achieved by: Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.Using examples from many disciplines, including statistics, psychology, engineering and health sciences.Including an extensive glossary of statistical and psychological terms. An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.
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Librería: Galisteo Consulting Group Books, Albuquerque, NM, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Fine. PRISTINE CONDITION: A 'Like New' copy of 'Uncertain Judgements: Eliciting Experts' Probabilities (Statistics in Practice)'. Part of the Wiley "Statistics in Practice" series. A specialized guide to quantifying expert opinion for risk and policy analysis. Essential for decision scientists and statisticians. No highlighting, markings, or spine creases. Ideal for students, researchers, and professional libraries. Used - like new. Ships from the USA. Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples.This is achieved by:Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.Using examples from many disciplines, including statistics, psychology, engineering and health sciences.Including an extensive glossary of statistical and psychological terms.An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.
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Añadir al carritogebundene Ausgabe. Condición: Gut. 321 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 620.
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Añadir al carritoCondición: New. pp. 338 Illus.
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Publicado por Oxford, England : Archaeopress, Publishers of British Archaeological Reports, 2000
ISBN 10: 1841710482 ISBN 13: 9781841710488
Librería: Joseph Burridge Books, Dagenham, Reino Unido
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Añadir al carritoSoft cover. Condición: New. v, 105 pages : illustrations (some colour), maps ; 30 cm. This book includes papers from the CAA Conference of the UK branch.
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Añadir al carritoCondición: New. pp. 338.
Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
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Añadir al carritoPaperback. Condición: New. In shrink wrap. Looks like an interesting title!
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In summary, Bayesian methods are already seen by many as an essential tool to aid in formal chronology building in archaeology. At present, most researchers use packages like OxGal and BGal to make use of such tools and typically see them as radiocarbon calibration tools (indeed both are described as such on their own WWW welcome pages). On reflection, however, I think that it is clear that these packages offer more than just calibration, they are modest Bayesian chronological data interpretation environments. Given this observation, and the fact that the current tools are built on a sound foundation offlexible and scalable theory,I think that we are in a good position to move towards fully integrated tools for Bayesian chronology building. All of the current and planned research projects outlined above will contribute to the extension of the framework in one way or another. Since such work is motivated by a desire to provide practical solutions to real, current and pressing issues associated with chronology building, I feel sure that we can look forward to many more years of fast moving, productive and practical research in Bayesian chronology building. References Ammerman, A. J. and Cavalli-Sforza, 1. L. (1971). Measurement of the rate of spread of early farming in Europe. Man , 6, 674-688. Ammerman, A. J. and Cavalli-Sforza, 1. L. (1984). The Neolithic transition and the genetics of populations in Europe. Princeton University Press, Princeton. Anderson, A. , Allingham, B. and Smith, I. (1996a).
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Añadir al carritoGebunden. Condición: New. Professor Anthony O Hagan is the Director of The Centre for Bayesian Statistics in Health Economics at the University of Sheffield. The Centre is a collaboration between the Department of Probability and Statistics and the School of Health and Related Resea.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 321 pages. 9.25x6.25x0.75 inches. In Stock.