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A Bernoulli model was implemented to identify clusters of positive farms, followed by a Normal model to detect clustering of farms with high prevalence.
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The protein level was analysed using a normal model by the EM algorithm in R/qtl (Lander & Botstein, 1989).
The model is motivated by a normal mode analysis of the inactivated channel that suggests that a displacement consistent with models of the closed state propagates to the T1 domain via the S1-T1 linker.
GMSPPF employs the Gaussian mixture model (GMM), and GMM has multiple means and variances to represent a complicated density which cannot be represented by a normal Gaussian model.
The autocorrelation curves of each individual measured point are then fitted by a normal diffusion model, as described in [34].
However, it is well known that several phenomena are not always represented by the normal model due to lack of symmetry or the presence of heavy- and light-tailed distributions related to the normal law in the data.
The null distribution of the log2-transformed probe set-specific expression is estimated by fitting a normal mixed model where the subject effect is random.
Changes in CRP and weight over time were analyzed by a normal errors repeated-measures model adjusted for baseline value and sex (24).
The results of statistic (R_{a}^{2}) obtained by KDE, Weibull model, Normal model and Rayleigh model are shown in Table 3.
While such heterogeneity seems plausible, if not altogether obvious, it may not be adequately expressed by either the contaminated normal model or the 2-component model.
We begin by introducing the general normal model for BRMA and discuss analytically why the between-study correlation can be estimated at the edge of its parameter space.
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