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Overall, no clinically meaningful changes in mean functioning and symptoms scores occurred during the study either overall or by KRAS group (Table 6).
Furthermore, the mean functioning and global quality of life scores of survivors with moderate-to-high BF/PTG were compared with survivors with lower BF/PTG using a t-test and a multiple linear regression with adjustment for all factors that were significant in the analysis of determinants.
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In this model the conditional mean function and the conditional variance function are unknown curves.
In the stationary Gaussian case, a mean function and a covariance function fully specify the process.
A Gaussian process is completely specified by its mean function and a covariance function.
The GP is then fully defined by its covariance and mean functions and their parameters.
In order to introduce the generalized convexity, we first recall the definition of mean function and several classical means.
Spatial modeling is typically composed of a specification of a mean function and a model for the correlation structure.
We apply this result to the family of weighted power mean functions, and characterize the exponential convergence properties of the resulting algorithms.
The first one replaces all objective functions by their mean functions, and robust solution is defined as the efficient solution to the resulting deterministic optimization problem.
Here each objective function is replaced by their mean function and an efficient solution of the resulting multi-objective optimization problem is called a robust solution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com