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To determine to what extent the model's assumptions were met, we checked the functional form of individual changes, normality and homoscedasticity of residuals at all three levels of the models using the statistical software MLwiN (Version 2.10; Rasbash et al. 2009).
In general, the activity levels of the models' individual constituents is measured as %ON.
p value stands for the statistical significant levels of the models, which is preset before the data manipulation.
When varying the period of sinusoid signal within the nesting season, the significance levels of the models with or without sinusoidal signals were tested using Akaike weight after a Bonferronni correction.
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The two levels of the model were the characteristics of the changeover (Level 1) and of the patient (Level 2).
The uncertainness levels of the model are discussed and novel aircraft architectures based on it are presented.
To achieve efficient inference, we apply Rao Blackwellized particle filters at multiple levels of the model hierarchy.
Figure 2 shows that our 1-D approximation breaks down in the deeper levels of the model (corresponding to the low-frequency data in Fig. 2).
In the lower levels of the model, we have a smaller collection of more salient parts representing the target followed by increasing number of lesser important parts.
Each of these metrics is further divided into minor metrics at the lower levels of the model, which are codified according to the format below (Table2).
For instance, cascade branches (or branches distributed at different levels of the model structure) may lead to a variety of short to long test cases.
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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