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Discover LudwigThe phrase "at random values" is correct and usable in written English
It can be used when discussing data points, variables, or measurements that are selected without a specific pattern or order. Example: "The experiment was conducted by measuring the temperature at random values throughout the day."
Exact(8)
Here (overrightarrow{{A}}) position is setting down at random values in between ([-1,1]).
However for this purpose, the particles called as power of pilot tones are initialized at random values between 0 and 1. Figure 2 PSO algorithm flow diagram.
The data is used to form a linear regression model for each MEA, which is in turn utilized to predict the cell voltage at random values within the selected ranges of the four factors for validation.
He suggests in the case of not missing at random values to test sensitivity of results in one or several directions since the vast array of possible directions is not feasible to account for (Longford 2005).
The PSO algorithm steps have been applied as illustrated in Figure 2. As it can be seen from the Figure 2; at first, the particles that represent pilot positions are initialized at random values between 0 and 127 for the system which has 128 subcarriers, and 0 and 63 for the system which has 64 subcarriers.
This technique involves several steps: 1) the definition of probability distribution functions for each of the K input parameters; 2) the division of the range of each parameter into N equi-probable intervals; and 3) the generation of the LHS K-sets of parameters by matching at random values sampled without replacement from each probability distribution function.
Similar(52)
was used, which handles missing-at-random values and estimates intercepts.
Since GRASS RaPlaT cannot introduce random errors at simulated RF-REM points, this has been subsequently added to the sampled signal levels at RF-REM points as random values obeying a log-normal distribution with mean 0 dB and standard deviation of 8 dB.
Then quantities w p, q, W p a n d b p ( p = 1, …, N ; q = 1, 2 ) are initialized at small random values.
Now let w p, q, W p and b p ( for p = 1, …, N ; q = 1, 2 ) are initialized at small random values for input signals.
Although the assumption of normality is not required during the process of fitting data, it is important during simulation, at which random values of η are drawn from a normal distribution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com