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We study a family of generalized slope limiters in two dimensions for Runge Kutta discontinuous Galerkin (RKDG) solutions of advection-diffusion systems.
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The generalized reduced gradient method is used to predict optimal values of the design variables as well as ground and traction parameters such as DBP, MR, LTC, and LFC for maximum slope climbing efficiency.
Specifically, Grambsch and Therneau [ 19] have shown that many of these statistical tests are essentially tests of a non-zero slope in generalized linear regression models of the Schoenfeld residuals [ 11] as a function of event time.
Testing time-dependent covariates is equivalent to testing for a non-zero slope in a generalized linear regression of scaled Schoenfeld residuals as a function of time.
Out of a choice of up to 10 degrees of freedom, generalized cross validation chose a slope of 1, indicating a linear association.
Proportionality was checked by testing for a non-zero slope in a generalized linear regression of the scaled Schoenfeld residuals on the natural logarithm of time [ 33].
Proportionalities of hazards were assessed graphically and by testing for a non-zero slope in a generalized linear regression of the scaled Schoenfeld residuals as a function of time.
In all models, the proportional hazards assumption was investigated by testing for a non-zero slope in a generalized linear regression of the scaled Schoenfeld residuals on functions of time (Grambsch and Therneau 1994).
Furthermore, this functionally graded bimaterial has the identical contour slopes for the generalized stresses (except for σ(j)xx) across the interface.
We first fitted a generalized linear model with different slopes for each of the three Daphnia species and then compared it with a simplified model with only one slope; the comparison was based on a Chi2 distribution [45].
We then compared these regression slopes to one another using a homogeneity of slopes test in a generalized linear model (GLZ) with a normal distribution and log link function.
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