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Generalized estimating equations were used to obtain the regression coefficients and adjusted means [30], [31], specifying family as the clustering variable and adjusting for the dependence of data within families.
The experimental treatment was declared as a fixed factor and the brood ID as random factor to control for the dependence of data from the same clutch.
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In Fig. 1, the arrows denote the dependences of data between neural cells; x t and y t are input and output of the t-th words respectively, and the dimension of latent layers is much smaller than the dimension of the input one-hot vector.
As such, ignoring the dependence of spatial data can lead to an underestimation of SEs, resulting in overly narrow CI estimates and, consequently, incorrect statistical inference.
In the absence of prior knowledge regarding the shape of the curve, we used two common curve shapes (linear and logarithmic) to explore the dependence of the data on these two assumptions.
Since there are several thousand samples, we preferred the majority voting strategy to lessen the dependence of the data-driven methods on the orders of the samples.
There are two primary approaches to examining the time dependence of data: time series analysis and spectral analysis.
Analyses were carried out to assess the dependence of these percentile data on site latitude and elevation, and a mathematical model was fitted to the data.
First, the structure of the dependence of wind speed data has been investigated using correlation matrix and tail dependence coefficients.
Further, a method to compute the expected detection delay is proposed for rank order filters despite the dependence of the filtered data.
This observation can be explained by the dependence of their input data on the degree of codon degeneracy [ d a in Equations (2) and (3) in Section 2.2].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com