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The accuracy and suitability of prediction of the network models is decided using the square of the correlative coefficient R (R2) value, the correlative coefficient (R) and the error index (EI).
The demodulated data set is then broken up into subsets containing 100 entries each (∼1.2 days) and fit to the following model via a weighted least-squares regression, using the square of the s.e. of the fits from equation (2) as the weights.
To enhance the performance, [15] extends the algorithm of [14] by using the square of the received samples instead of the samples themselves.
In general, using algorithm 1 is better than algorithm 2 where using the square of the difference enlarges the large differences and reduces the small differences, which might lead to false decisions as compared to using the difference alone without squaring.
This was determined by using the square of the distances of the cells from the center of the cluster.
Further analysis using the square of open-ended scores indicated that the correlation is nonlinear (p < 0.001).
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We can store this matrix as an interger matrix, (similar to the best-candidate algorithm in lrt, we use the square of Euclidean distance to avoid unnecessary square root computation).
We use the square of μi,j and transform this fraction in (15) into a weighted summation.
Confidence Metric Algorithm 1 uses the difference between the channel power and the predefined threshold, Confidence Metric Algorithm 2 uses the square of the difference between the channel power and the predefined threshold.
To fix this problem, we use the square of the distance and the results are in columns 3 and 4. In this case, the estimate of the exposure to PM10 per state using the square distance becomes statistically significant.
Two different weights are defined: Confidence Metric Algorithm 1 uses the difference between the channel power and the predefined threshold, Confidence Metric Algorithm 2 uses the square of the difference between the channel power and the predefined threshold.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com