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A model of variance, which describes departures of the variance from being proportional to the squared absolute value of admittance, is fitted to the evaluated variance.
● a model of variance M (a mathematical model and/or visualization method for explaining variance).
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All model comparisons are performed under ML on a fixed tree topology, which is estimated with the bionj algorithm (Gascuel 1997) implemented in phyml (Guindon et al. 2010) that uses a model of the variance and covariance of evolutionary distances.
In the frame of a sensory evaluation in which assessors successively taste several products, this paper uses a model of analysis of variance including both the rank and the carry-over factors.
The individual regression coefficients of these factors were saved and used as dependent variables in a model of multivariate analysis of variance (MANOVA).
The differences in apoB between genotypes remained significant after controlling for age, cigarette smoking status, and BMI, by a general factorial model of variance (P=0.032).
Data was analyzed using a general linear model of variance ANOVA and the average percentages were compared using the Tukey test at 95% confidence intervals (P < 0.05).
Data were assessed by a general linear model of variance (GLM ANOVA) and the means were compared by the Tukey test at 95% confidence intervals (P < 0.05).
Therefore, all quantities for lipid species were controlled for BMI and HOMA-IR using them as covariates in a general linear univariate model of variance (ANCOVA).
In addition, we introduced a model of both the expectation and the variance based on generalized additive modeling techniques.
The volume of blood taken by females in these cages was analysed in the same split-plot design with a mixed model analysis of variance (anova) using JMP; this model was also used to analyse female fecundity.
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