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来源类型 | Monograph (IIASA Research Report (Reprint)) |
规范类型 | 报告 |
The Lack of Consistency for Statistical Decision Procedures. | |
Haunsperger DB; Saari DG | |
发表日期 | 1991 |
出版者 | IIASA, Laxenburg, Austria: RR-92-001. |
出版年 | 1991 |
语种 | 英语 |
摘要 | Simpson's paradox exhibits seemingly deviant behavior where the data generated in independent experiments support a common decision, but the aggregated data support a different outcome. It is shown that this kind of inconsistent behavior occurs with many, if not most, statistical decision processes. Examples are given for the Kruskal-Wallis test and a Bayesian decision problem. A simple theory is given that permits one to determine whether a given decision process admits such inconsistencies, to construct examples, and to find data restrictions that avoid such outcomes. |
主题 | World Population (POP) |
关键词 | Bayesian decisioin theory Kruskal-Wallis test Simpson's paradox |
URL | http://pure.iiasa.ac.at/id/eprint/3494/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/123903 |
推荐引用方式 GB/T 7714 | Haunsperger DB,Saari DG. The Lack of Consistency for Statistical Decision Procedures.. 1991. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RR-92-01.pdf(2419KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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