Reliability Testing Information Fusion under Small Sample Conditions
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Abstract:
Information fusion of multiple sources under different population and small sample conditions is a key problem. The reliability testing information fusion methods are summarized under small sample conditions. On some hypotheses, the reliability information fusion methods using the data from the non-identical environment are studied. The simulation shows that by the fusion methods we can take full advantage of the information and give a more reasonable conclusion.
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ZHANG Shifeng, CAI Hong. Reliability Testing Information Fusion under Small Sample Conditions[J]. Journal of National University of Defense Technology,2004,26(6):25-29.