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This section provides the details of the physics-based model and sample calculations for the base-case input values defined in Table 1.
Figure 1 E-learning success model and sample matrix.
Particularly, annealing and Monte-Carlo techniques are used to minimize an error between correlation functions of model and sample.
Absolute fit indices used to identify the relationship between a-priori model and sample data, which demonstrates the most superior fit model are the Chi-Squared test, GFI, AGFI, the RMR, and the RMSEA.
A general set of 'moderators', i.e. variables that reflect the quantitative and qualitative features of the different studies that could be influencing their results (theoretical model and sample, among others) is then selected and tabulated using dummy variables.
Association was assessed by means of R and PLINK[30] using logistic regression under an additive model and sample origin (Northern vs. Southern Chinese) was included as a covariate to correct for population stratification.
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The fitted model and sampling algorithms provide new knowledge on design storms and risk assessment in Connecticut.
This work also demonstrates that using an IVIM model and sampling scheme matched to the ballistic regime, pixel-wise IVIM parameter maps are possible when sampling as few as 4 IVIM signals.
Loading estimates of Pb, Zn, Cu, and Hg were made for design storms and on an annual basis using a combined model and sampling approach.
Section 2 describes the system model and sampling operations to obtain the input sample sequence.
It further quantifies the uncertainty in the selected design using the developed proxy model and sampling methods.
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