Caitlin E Buck (47 results)
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Published by Springer, 2004
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Published by Springer, 2004
Series: Lecture Notes in Statistics, Book 26 of 72. Book 26 of 72 - Lecture Notes in Statistics
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Language: English
Published by Springer, 2004
Series: Lecture Notes in Statistics, Book 26 of 72. Book 26 of 72 - Lecture Notes in Statistics
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Language: English
Published by Springer, 2004
Series: Lecture Notes in Statistics, Book 26 of 72. Book 26 of 72 - Lecture Notes in Statistics
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Language: English
Published by Springer, 2004
Series: Lecture Notes in Statistics, Book 26 of 72. Book 26 of 72 - Lecture Notes in Statistics
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Language: English
Published by Springer, 2004
Series: Lecture Notes in Statistics, Book 26 of 72. Book 26 of 72 - Lecture Notes in Statistics
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Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Hardback. Condition: 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, w…here 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.
Uncertain Judgements: Eliciting Experts' Probabilities (Statistics in Practice)
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.; Jenkinson, David J.; Oakley, Jeremy E.; Rakow, Tim
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gebundene Ausgabe. Condition: 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.
Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Hardcover. Condition: 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 statistic…ians. 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.
Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Condition: New. pp. 338 Illus.
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Language: English
Published by Springer, 2004
Series: Lecture Notes in Statistics, Book 26 of 72. Book 26 of 72 - Lecture Notes in Statistics
- Softcover
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Language: English
Published by Springer, Springer, 2004
Series: Lecture Notes in Statistics, Book 26 of 72. Book 26 of 72 - Lecture Notes in Statistics
- Softcover
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Taschenbuch. Condition: 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 radioc…arbon 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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Uncertain Judgements: Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.; Jenkinson, David J.; Oakley, Jeremy E.; Rakow, Tim
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Hardback. Condition: 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, w…here 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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Uncertain Judgements: Eliciting Experts* Probabilities
O*Hagan, Anthony, Buck, Caitlin E., Daneshkhah, Alireza, Eis
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