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The division of variables across domains was similar for both types of studies.
In summary, it can be seen from Figure 2C that no single variable was 'too good' in explaining overall variance in the dataset, but also that none of them fell at or below the predicted noise level; there was no clear division of variables into distinct groups, but rather a smooth decline across the list.
Multiplication of variables (e.g. of the form x*x). Division of variables (e.g. of the form x/x). Multiply the number by the value of the exponent.
Remember that a polynomial consists of any finite number of terms added together, as long as their are no negative powers (x -3 ), division of variables (1/x), or square roots of variables.
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In both cases, the expected value of the division of random variables can be approximated according to (35) and (37).
In the descriptive analysis of the data, we observed that the class II malocclusion was the most frequent in the total sample, but when divided by age group and mode of breathing, there is a random division of these variables.
In the descriptive analysis of the data, we observed that the class II malocclusion was the most frequent in the total sample, but when divided by age group and mode of breathing, there is a random division of these variables (Figs. 1 and 2).
We applied X-tile[ 40] in order to determine the optimal cutpoint of continuous Bcl-2 AQUA scores; this statistical method assesses every division of continuous variables into ordinal classes and performs standard Monte Carlo simulations to produce chi squared values which can be maximized to find the optimal cut point in continuous data.
From the solution of the optimization of AGVs (Autonomous Guided Vehicles) Network [1] resulted techniques of implementation of logical functions over variables of the model only with algebraic expressions and the division of two model variables with the aid of auxiliary binary variables.
Fig. 5(b) shows the division of the random variables space in 4 zones.
The binary regression analysis of the division variable of both clinical and control groups revealed that migraine might characterize individuals with high anxiety, low quality of life in the physical domain (WHO1), and presence of a concrete thinking style, without imagination and fantasies (ALEX2).
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