DocumentCode :
2312435
Title :
Robustness of likelihood ratio tests: hypothesis testing under incorrect models
Author :
Köse, Cenk ; Wesel, Richard D.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Volume :
2
fYear :
2001
fDate :
4-7 Nov. 2001
Firstpage :
1738
Abstract :
This paper formulates the trade-off between the sample size and the reliability of decisions in a multihypothesis test with possible model errors. We introduce a measure of the model uncertainty and derive the best error exponent for the decision error probabilities for the allowed levels of model uncertainty. For small deviations from the correct model, the error exponent for sequential probability ratio tests is quantified.
Keywords :
design of experiments; error statistics; signal sampling; Fano´s inequality; Kullback-Leibler information; decision error probability; decision reliability; error exponent; experiment design; heuristic measure; hypothesis testing; incorrect models; likelihood ratio tests; model selection; model uncertainty; model uncertainty measure; multihypothesis test; sample size; sequential probability ratio tests; Bayesian methods; Distortion measurement; Error correction; Error probability; Measurement uncertainty; Minimax techniques; Performance evaluation; Robustness; Sequential analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7147-X
Type :
conf
DOI :
10.1109/ACSSC.2001.987782
Filename :
987782
Link To Document :
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