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The regression-based approach was based on multiple regression equations using the calibrated model parameters as the dependent variables and catchment physical characteristics as the independent variables.
With a parameter fitting method based on multiple regression analysis, delamination is characterized quantitatively.
Proposed mathematical model based on multiple regression was in complete agreement with experimental observation.
Amongst these statistical methods, those based on multiple regression [11, 12] or neural nets [13] have particularly proven to lead to robust prediction models.
Finally, a new set of Mk equations for cracked double-sided T-butt joint and X-joint are proposed based on multiple regression analyses.
The results were compared to those of Cserhati et al. who studied the same problem using as many as ten different equations based on multiple regression analysis.
Similar(29)
The complex correlation between decreasing blood concentrations of BSA and increasing ones of LBP with a higher severity of the disease, based on multiple regressions, is illustrated in Fig. 3a.
Statistical methods based on multiple regressions were employed to evaluate the influence of particular factors on this parameter.
Based on multiple regressions of the cortical area of the femur in 2008, Jungers and colleagues generated the current best estimate of 161.2 kg with a possible range of 150 187.8 kg.
Several of these strategies are based on multiple regressions and involve adjusting for NA by including an array of variables that reflect a subject's tendency to perceive the world in a negative way.
Primary statistical models were based on multiple regressions using iterative search and testing among the main 20 drinking water variables against the incidence of sialolithiasis in the 98 Danish municipalities as the outcome.
More suggestions(17)
based on multiple real-value
based on numerical regression
based on ordinal regression
based on nonlinear regression
based on trigonometric regression
based on multiple reference
based on sparse regression
based on logistic regression
based on multiple intelligence
based on conventional regression
based on multiple linear
based on multiple association
based on multiple class
based on multiple engineering
based on Boosted regression
based on Logistic regression
based on multiple pilot
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