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Exact(39)
Treating this restricted mean square prediction error as a function of the two coefficients (a, b) and minimizing it by methods of the calculus yield the optimal coefficients: b̂ = E{[ X − E X][Y − E Y)]}/Var(X) and â = E(Y) − b̂E(X).
The two coefficients in Izbash's law are quantified.
The two coefficients in the modified Coffin Manson equation are also determined.
With the uniform PDP, we yield for the covariance of the two coefficients (A.2).
We cannot reject the hypothesis that the two coefficients are the same at conventional significance levels.
The distinction between the two coefficients is important in the low Péclet number region.
Similar(20)
The pane shows the five coefficients for the sequence "Dog".
The three coefficients should be obtained via experimental data.
Thus, we cannot claim that the three coefficients are different.
The four coefficients are highly significant, and surprisingly similar.
In each group, each of the four coefficients becomes the root of a spatial orientation tree.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com