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Such inadvertent correlation errors can result in inappropriate conclusions and self-deception concerning the actual relationships between scaling variables and the associated reduction in variance found in tables and graphs.
It is shown that neither the correlation errors of the kinetic equation nor values of the mass transfer coefficient are considerably affected by a choice of the surface reaction order.
Based on the findings of property-data-model analysis, new structural parameters are defined and included in the GC-model to provide additional structural information for compounds having large correlation errors and to thereby improve accuracy of ΔfH°gas predictions through better correlation of data.
Normality and homoscedasticity tests are important measures in analyzing the statistical correlation errors.
No correlation errors within or across sets of items were allowed in the model.
No correlation errors either within or across sets of items were allowed in the model.
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Look no further than the Fed's obsession with the wealth effect for a classic correlation error.
For log-normal lifetime distribution with compound error structure (i.e., symmetry, inter-class and intra-class correlation error structures), we have developed methods for construction of D-optimal robust first order designs.
The static correlation error inherent in commonly used density functional approximations (DFAs) has seriously hindered the application of density functional theory (DFT) to strongly correlated systems.
The other tools remain the same: turbo codes are used for the WZFs; the correlation error is modeled as a Laplacian random variable.
Six statistical indices (mean absolute error, root mean square error, correlation coefficient, error of time to peak discharge, error of peak discharge, and coefficient of efficiency) are employed to assess prediction performance.
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