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In particular, for Cases I and IV, we can predict that the optimal control (u^in C^{infty}(Omega)) as if the given data are sufficiently smooth.

The statistical test of the fitting for the evaluation of its goodness comes from the null hypothesis that the given data are described by the fitted statistical model.

In concrete terms, which situations fit the given data are identifiable by comparing the sum of the squared deviations (total sum of squares (TSS)), calculated from all items to one from the separated item sets (self-focused and task-focused) for each situation, which is represented as a ratio between TSS of all items and one of the separated item sets.

Univariate risk estimates are given Data are n otherwise indicated *RR: Relative risk.

A Q2Q (Quantitative-to-Qualitative) conversion algorithm [22] is used if the given data are quantitative.

For lowest-order FEM, it can be proven, if the given data are sufficiently resolved, see [26].

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Similar(53)

If a brand is to be truly trusted, it must satisfy their concerns and develop a mutually beneficial "value exchange" with the customer in which the given data is protected, valued and not secretly monetised.

A hierarchical model with all hyper-parameters automatically determined from the given data is described.

However, PCA usually breaks down when the given data is corrupted by gross errors.

Producing a small DNF expression consistent with given data is a classical problem in computer science that occurs in a number of forms and has numerous applications.

We expect that our method remains numerically feasible even when the number of samples in the given data is very large.

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