The Lack of Consistency for Statistical Decision Procedures

Haunsperger, D.B. & Saari, D.G. (1991). The Lack of Consistency for Statistical Decision Procedures. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-92-001. Reprinted from The American Statistician, 45(3):252-255 (1991).

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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.

Item Type: Monograph (IIASA Research Report (Reprint))
Uncontrolled Keywords: Bayesian decisioin theory; Kruskal-Wallis test; Simpson's paradox
Research Programs: World Population (POP)
Bibliographic Reference: Reprinted from The American Statistician; 45(3):252-255 (1991)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:01
Last Modified: 27 Aug 2021 17:13

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