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Indeed, we first develop a random model for the covered segment of the path by each sensor.
Xu [9] proposed a fixed model and a random model for multiple independent families based on the weighted least square method of linear model.
Second, although NIOSH/NCI preferred a random model for slope based on AIC values, apparently they were comparing a model with random slopes using fixed mine-specific intercepts (AIC = 516.8) to a model assuming a single fixed intercept and a single fixed slope applied to all mines (AIC = 586.5).
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This paper proposes a performance testing framework, integrated with a random model generation algorithm, for model-related operations.
We use a simple random model for lack of resolution in the induced trees.
Finally, a last random model (for promoter region) was created by using promoter-specific suffleseq models created with the EMOSS package version 3.0 [ 30].
A random model is taken as baseline model for comparison.
In this study, an explicit random model for CFPs arrangement, namely realized random packing (RRP), was developed for the whole core of HTTR using a Monte-Carlo MCNP6 code.
To assess reliability, we derived the intraclass correlation coefficient with a 2-way random model for interrater agreement.
A two-way random model for absolute agreement for single measures (type A,1) was used [ 23] with a recommended test value of 0.75 [ 24].
The full model was a random slopes model for ANC and a random intercept model for delivery and postnatal care.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com