Sentence examples for minimal deviance from inspiring English sources

With the control model, the minimal Deviance is independent of φ.

Our Over-diagnosis Model included the indolent cancer parameters in the model and found minimal deviance reduction (ΔDev = 0.07, Δdf = 1, p = 0.79).

Based on assessment of fit, a fixed effect model was employed; there was minimal difference in mean residual deviances and DIC between the different models tested (fixed effect, simple random effects and full random effects, which accounted for correlation within the three-arm trial), thus the least complex model, given the limited data available for analysis, was applied.

All oscillations are detected under the condition that the deviance (y ti) – Reg ti))2 is minimal where y ti) being the original RRI or systolic blood pressure and Reg ti)  =  A x sin (ωti + φi) being a trigonometric function of the parameter A (amplitude), ω (frequency) and φ (phase shift).

Terms associated with non-significant changes in scaled deviance were removed sequentially until the minimal models necessary to explain the data were reached.

All oscillations are detected under the condition that the deviance from the sinusoidal regression line (y ti) – Reg ti))2 is minimal where y ti) being the original RRI or SBP and Reg ti)  = A x sin (ωti + φi) being a trigonometric function of the parameter A (amplitude), ω (frequency) and φ (phase shift).

We followed model simplification by sequentially dropping the least significant term and comparing the change in deviance with and without the term to chi-squared distributions, until the minimal adequate model was reached.

With the exception of the survival analysis and the binomial generalized linear models, where the model output is reported, we followed model simplification by sequentially dropping the least significant term and comparing the change in deviance with and without the term to chi-square distributions until the minimal adequate model was reached.

In these models, forward and backward elimination and combination of variables were performed stepwise until a minimal model was reached beyond which the variables could not be combined without significantly affecting model deviance.

"Excess, infraction, deviance.

Talk about defining deviance down!