G2TT
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
URLhttp://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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