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To synthesize these regression coefficients, Debray et al. [ 6] utilize the mean or zero imputation methods for omitted coefficients and apply the technique of multivariate meta-analysis.
However, there is a need for robust interpolation methods for pressure coefficients to extend the range of conditions beyond those in the aerodynamic database from wind tunnel experiments.
We provide bias assessment methods for regression coefficients when important predictors are dropped in some studies, and thereby supply bias-corrected estimators for the synthesized prediction models under the assumption of the homogeneity of studies in meta-analysis.
Comparisons with ACOVE QIs will use standard methods for comparing correlation coefficients for contrasting reliability coefficients, and cross-tabulations of tertiles of QIs in similar domains for the validity assessment.
A numerical method for approximating coefficients in an Euler-Bernoulli beam equation from spectral data is proposed.
Prior algorithms have been based on special models and approximations with no consistent method for computing coefficients in general cases.
Figure 4 Comparison of the result measured by the present approach and that of Hale and Querry's method for extinction coefficients of water at 25°C.
The Antoine equation for vapor pressure is discussed and a method for obtaining coefficients from published data using Excel is described.
Numerical evaluations with simulations showed that our approach resulted in smaller biases and more precise estimates compared with conventional methods, which use only studies with common covariates or which utilize a mean imputation method for omitted coefficients.
In the literature, there are many methods for predicting diffusion coefficients of gases in hydrocarbon systems.
Two new methods for determining sorption coefficients in large rock samples have been developed.
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