Uncertain Judgements: Eliciting Expert Probabilities mobi 下载 网盘 caj lrf pdf txt 阿里云

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 situati***, such as modelling the safety of nuclear installati*** 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 *** 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 distributi***, appropriate to the most common types of quantities. * Providing a comprehensive review of the available li***ture 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 applicati*** of Bayesian ***ysis, Uncertain Judgements will also benefit decision-makers, risk ***ysts, engineers and researchers in the medical and social sciences.

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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 situati***, such as modelling the safety of nuclear installati*** 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 *** 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 distributi***, appropriate to the most common types of quantities. * Providing a comprehensive review of the available li***ture 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 applicati*** of Bayesian ***ysis, Uncertain Judgements will also benefit decision-makers, risk ***ysts, engineers and researchers in the medical and social sciences.