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Mortar mixture parameters were 3 and 1/3 for sand binder ratio, and water binder ratio, respectively.

The basic mixture parameters were coded into the names of the mixtures with percentage of each cementitious material, e.g. 75TII-V/20F/5SF means 75%% Type II-V Cement, 20 % Class F fly ash and 5 % Silica Fume.

Since these two simple isotherm models failed to represent the unusual competitive behavior observed, three model extensions using additional mixture parameters were applied, i.e., two modified multi-Langmuir equations based on: (a) statistical thermodynamics and (b) vacancy solution theory and a modified multi-Freundlich IAS model correcting spreading pressure uncertainties.

We recorded how many of the mixture parameters were contained in their respective confidence intervals.

Two experimental datasets with known mixture parameters were used to test the linearity of RNA-seq measurements.

There was no indication of lack of convergence in the visual checks [see Supplemental Material, Figure 2 (http://www.ehponline.org/members/2008/10814/suppl.pdf)], and the credibility intervals for the mixture parameters were relatively narrow, indicating that there is sufficient information to estimate the mixture model.

Similar(53)

Once the mixture parameters are obtained, we can then compute a weighted partitioning of the samples into the correlated and uncorrelated sets.

Confidence intervals for mixture parameters are based on Equations (7) and (8) in the previous paper with φ =.0055 = 50,000/9,162,303 and C0 = 2.5.

The combination of error norms governed by a mixture parameter is introduced to yield a better performance than algorithms derived from a single error norm.

The results of investigations on thermal and mechanical properties of lightweight aggregate concretes according to mixture parameter are reported.

Specifically, once the mixture model parameters were estimated, we calculated the posterior probability of any data point.

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