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Triple correlation states between in-situ tested soil parameters
When testing soil parameters, the measured parameter values are only approximations of the true values. The measurand is determined based on metrological uncertainties or using statistical models for analysing data. Some parameters of the soil state present strong correlations, but others do not always provide simple correspondences. Multiple correlations between geotechnical parameters can provide a new perspective regarding the mutual relations between these parameters and may improve the fit of different soil parameters in geotechnical design procedures. Statistical modelling based on observed data generally involves a comparison between theoretical expectancies and practical surveys. Multidimensional regression models are useful for revealing the influences of several independent variables on one dependent variable. Statistical parameters and a quantitative approach can be used to define the relationships between several factors. Presented results claim that triple depended correlations may bring some corrects in relationships of soil parameters as against to double depended correlations. The differences in coefficients of determination are significant. Three variables involved stronger correlations.
Triple correlation states between in-situ tested soil parameters
When testing soil parameters, the measured parameter values are only approximations of the true values. The measurand is determined based on metrological uncertainties or using statistical models for analysing data. Some parameters of the soil state present strong correlations, but others do not always provide simple correspondences. Multiple correlations between geotechnical parameters can provide a new perspective regarding the mutual relations between these parameters and may improve the fit of different soil parameters in geotechnical design procedures. Statistical modelling based on observed data generally involves a comparison between theoretical expectancies and practical surveys. Multidimensional regression models are useful for revealing the influences of several independent variables on one dependent variable. Statistical parameters and a quantitative approach can be used to define the relationships between several factors. Presented results claim that triple depended correlations may bring some corrects in relationships of soil parameters as against to double depended correlations. The differences in coefficients of determination are significant. Three variables involved stronger correlations.
Triple correlation states between in-situ tested soil parameters
Eligiusz Mieloszyk (Autor:in) / Mariusz Wyroslak (Autor:in)
2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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