Sentence examples for straightforward fit from inspiring English sources

Thus, a straightforward fit for the full parameter set (hereafter the full fit) required 10 free parameters for each species, or 2500 free parameters in total.

The fixed effects model assumes that there is no between study heterogeneity and is computationally straightforward to fit using generalised least squares because all within-study covariance matrices are regarded as known.

Our multinomial modeling approach considerably outperforms logistic regression, even when fitting models with child genotype effects alone (simulation scenario A) or maternal genotypes alone (simulation scenario B), which are straightforward to fit using logistic regression.

Specifically, the term representing change in baseline hazard in the model can be subsumed into the vector of parameters as a dummy variable that represents change in hazard [ 25], making these models straightforward to fit.

With its "straightforward design, good fit, stable platform," Mr. Dimitri said, it was good for novices.

Just by adjusting the control points iteratively, progressive-iterative approximation presents an intuitive and straightforward way to fit data points.

Although the relationship between the behavior of Oprm1−/− mice and heroin addicts is not straightforward, our results fit well with evidence that opioid antagonists enhance control of motor responses in healthy participants [27] and may be effective treatment in impulse-control disorders [28].

This makes the straightforward approach of fitting the molecular orientation against the experimental intensities problematic on graphene, where neighboring grains might exhibit a nonrandom angular relation.

A straightforward approach is to fit BayesDiallel separately for drug and placebo mice to yield separate estimates of β ^ drug and β ^ placebo.

Case finding for depression exemplifies what happens when attempts are made to fit apparently straightforward but deceptively complex interventions into primary care consultations and systems.

Quasi-likelihood models can be fitted using a straightforward extension of the algorithms used to fit generalized linear models.