Elimination of randomization and hunt-stein type theorems in invariant statistical decision problems
Author:
HARALD Luschgy a
| Affiliation: | a Institute f r Mathematische Statistik der Universit t Einsteinstrabe 62, M nster, BRD |
DOI:
10.1080/02331888708801995
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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Abstract
Suppose a decision problem is invariant under the action of a group. We prove some general results on the essential completeness of the nonrandomized equivariant decision rules in the set of all equivariant rules under convexity conditions for possibily infinite dimensional decision spaces and on the risk-equivalence of both sets in a LYAPUNOV type setting. Furthermore, HUNT-STEIN type theorems on the existence of equivariant A-minimax rules are derived.
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| Keywords: 62 A 05; 62 C 07; 62 C 20; Invariant decision problems; elimination of randomization; convexity theorem of LYAPUNOV type; equivariant A-minimax decision rules |
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r Mathematische Statistik der Universit
t Einsteinstrabe 62, M
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