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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 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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书籍介绍
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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- 网友 谢***灵: ( 2024-12-26 16:48:21 )
推荐,啥格式都有
- 网友 石***烟: ( 2024-12-22 21:41:29 )
还可以吧,毕竟也是要成本的,付费应该的,更何况下载速度还挺快的
- 网友 车***波: ( 2025-01-19 02:25:37 )
很好,下载出来的内容没有乱码。
- 网友 田***珊: ( 2025-01-13 22:00:01 )
可以就是有些书搜不到
- 网友 通***蕊: ( 2025-01-16 13:48:34 )
五颗星、五颗星,大赞还觉得不错!~~
- 网友 孙***夏: ( 2025-01-14 17:29:53 )
中评,比上不足比下有余
- 网友 辛***玮: ( 2025-01-14 06:15:00 )
页面不错 整体风格喜欢
- 网友 步***青: ( 2025-01-10 08:39:51 )
。。。。。好
- 网友 权***颜: ( 2025-01-04 08:25:14 )
下载地址、格式选择、下载方式都还挺多的
- 网友 曾***文: ( 2025-01-05 21:22:31 )
五星好评哦
- 网友 冯***丽: ( 2024-12-20 13:11:55 )
卡的不行啊
- 网友 仰***兰: ( 2025-01-15 10:19:30 )
喜欢!很棒!!超级推荐!
- 网友 晏***媛: ( 2025-01-12 02:46:18 )
够人性化!
- 网友 家***丝: ( 2024-12-24 08:56:46 )
好6666666
- 网友 瞿***香: ( 2024-12-31 01:48:47 )
非常好就是加载有点儿慢。
- 网友 国***舒: ( 2024-12-24 00:07:03 )
中评,付点钱这里能找到就找到了,找不到别的地方也不一定能找到
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