Sentence examples for visually fitting from inspiring English sources

Exact(1)

The overall FOI (λa) and domestic transmission rates (βdom,a) were estimated separately for each age-group (Table  1) by visually fitting the model to the age distribution of notified cases (national data from OSIRIS; data and model fit are provided in the Additional file 1: Figure A2).

Similar(59)

Only 20% were deemed visually fit to drive using current DVLA acuity and visual field guidelines.

(e) Visually fit a straight line through the estimated extreme values.

As shown in Fig. 1, the POME-based univariate distributions derived (using the constraints pertaining to certain population, and first four moments about the origin) visually fit the observed data very well.

In the 1940s, when Hergé's popularity had increased, he redrew many of the original black-and-white Tintin adventures in colour using the ("clear line") drawing style he had developed, so that they visually fitted in with the newer Tintin stories.

In the 1940s and 1950s, when Hergé's popularity had increased, he and his team at Studios Hergé redrew many of the original black-and-white Tintin adventures in colour using the ("clear line") drawing style he had developed so that they visually fitted in with the new Tintin stories being created.

Moreover, 3D IV-OCT stent patterns of different devices (Figs. 7 and 8) visually fitted to a priori data from the manufacturers.

The curve from the exponential model, however, visually fits that of the observed least well, declining too slowly initially, and too quickly after about two years.

And the least significant untransformed model visually fits the categorical model better than the more statistically significant log transformed and restricted models.

This negative area visually fits in shape and charge the FeSII region around K14 and K15, the two lysine that may have an important role in the initial steps of recognizing the nitrogenase component residues (Fig. 4; [ 23]).

For the 15-year lagged models, the linear-exponential model visually fits the data well compared to the expanded categorical data model (their Figure 1C, Figures 19– 21) and has the highest statistical significance.

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