Insufficiency of Statistical Regression Model for Seepage Pressure Monitoring and Expansion of Factors

LI Ya-Jing, ZHANG Zhi-Cheng, CHEN Guang-Zhou

Journal of Changjiang River Scientific Research Institute ›› 2009, Vol. 26 ›› Issue (6) : 13-15.

PDF(316 KB)
PDF(316 KB)
Journal of Changjiang River Scientific Research Institute ›› 2009, Vol. 26 ›› Issue (6) : 13-15.
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Insufficiency of Statistical Regression Model for Seepage Pressure Monitoring and Expansion of Factors

  •  LI  Ya-Jing, ZHANG  Zhi-Cheng, CHEN  Guang-Zhou
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Abstract

Only finite factors are selected when using a statistic regress model establishes a safety monitoring model. Sometimes this will lead to ambiguous or missing phenomenon of factors and the defect of statistical regression model in precision. Therefore, it is necessary to reinforce and consummate the regression model. This text takes the statistical regression model after factor expansion as reference to establish the safety monitoring model with the observed data in prototype. The results indicate this method will result in higher regression precision.

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LI Ya-Jing, ZHANG Zhi-Cheng, CHEN Guang-Zhou. Insufficiency of Statistical Regression Model for Seepage Pressure Monitoring and Expansion of Factors[J]. Journal of Changjiang River Scientific Research Institute. 2009, 26(6): 13-15
PDF(316 KB)

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