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- W2000309401 abstract "A new method for data reconciliation by risk analysis of modeling is presented in this paper. Yamarura designed an integer programming model for gross error detection and data reconciliation based on Akaike information criterion. But much computational cost is needed for its combinational nature. To reduce computation burden, a new method by two-step risk analysis of modeling is proposed. Measurement modeling risk is analyzed in the first step. Then gross error modeling analyzed based on the minimum measurement modeling risk is considered. The proposed method could effectively reduce the scale of the integer programming problem. Simulation shows the efficiency of the proposed method." @default.
- W2000309401 created "2016-06-24" @default.
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- W2000309401 date "2008-07-01" @default.
- W2000309401 modified "2023-09-25" @default.
- W2000309401 title "Data reconciliation by two-step risk analysis of modeling" @default.
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- W2000309401 doi "https://doi.org/10.1109/chicc.2008.4605669" @default.
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