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Secondly, we estimated directional trends by comparing Model A (random walk) with Model B (directional walk) via their log-likelihoods [28], [35].
Integrated with wavelet transform, the proposed approach may be used to model a random process with non-stationary frequency content.
We study low-energy properties of the random displacement model, a random Schrödinger operator describing an electron in a randomly deformed lattice.
In addition to the conditional logit model, a random parameter logit model, a random parameter logit model with interactions and a latent class model are estimated to account for heterogeneity in the preferences of the public for the various functions of the wetland.
As a result, we adopt the channel erasure probabilities uniformly at random to model a random distribution of receivers.
Using the deterministic model, a random model of antibiotic resistance will be obtained by adding random effect terms to the parameters of the equation system.
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We have not included in the logistic mixed model a random-effect that account for clustering through time.
Therefore, a fixed-effects model, a random-effects model, and the maximum likelihood estimator usually applied to static panel data models are all inconsistent [ 1, 2].
We will model a random-effects regression on an intention-to-treat basis to assess the effects of intervention on BMI over 24 months.
We first performed a fully unconditional model, a random-effects analysis of variance (ANOVA), which partitioned the total variation in GPA into within- and between-major components.
In the current study, the modeling of wind power can be divided into a deterministic model and a random model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com