Sentence examples for distributed as normal from inspiring English sources

Better said the magazine was still trading profitably and would continue to be published and distributed as normal.

BMI was distributed as normal weight (32%), overweight (40%), and obese (28%).

On the (natural) log (to base e) scale, the data were found to be distributed as Normal (Table 2, Figure 1).

The heterogeneity random term u i represents an unstructured spatial variability component assumed a priori distributed as Normal (0, λ u ) where λ u is the precision parameter modeled as Gamma.

In other words, denoting S i as the set of the areas adjacent to the i-th area, v i ∣ v j ∈ Si is assumed distributed as Normal(, λ v n i ) where is the mean of the terms of areas adjacent to the i-th one (Besag and Kooperberg, 1995) and λ v n i is the precision which is dependent on n i, the number of areas in S i.

To check if the expression ratios used in the two-way ANOVA are log2-normal distributed as well as if equal variances across groups exist, we performed Shapiro-Wilk's tests (with the R-function shapiro.test) and Levene's tests (using the R-function levene.test), respectively.

We model this as an additive white Gaussian "adjustment noise" contribution to the "ideal adjustment" (and with we mean a variable that is distributed as a normal distribution with mean and covariance matrix ).

This random variable is assumed to be distributed as a normal distribution with mean μ and variance σ.

In this situation, the SNPs are either associated with the phenotype (whose random effects are distributed as a normal distribution) or not associated with the phenotype (whose random effects will be zero); Simulation Case 2: The random effect b follows a mixture of two normal distributions with one of the two distributions has a very small variance.

Let us consider the inverse standard normal transformation of both p-values and which are distributed as standard normal random variables under the null hypothesis.

The generating model for the phenotype was (i = 1, 2, … , 500; j = 1, 2, 3; k = 1, 2) y i j k = μ j + ∑ l = 1 4 q i l T a j l + u p i j + e i j k, (11 where the means μ j were as for the null simulation, the polygenic effects u pij were defined as for the null distribution simulation, including (10), and e ijk were assumed independent and identically distributed as standard normal variables.