Sentence examples for departed data from inspiring English sources

Exact(1)

The eleventh site enrolled only five women before fistula repair services were suspended because the sole fistula surgeon departed (data for these women were included in the analyses presented here).

Similar(59)

Data analysis – which data departed from normality?

Data combination: For the l th segment, according to the traffic survey, a certain percentage of the departing moment data are extracted, and the related PrEVs are assumed to have sojourn behavior.

These constraints are related with the specific circumstances of the l th segment, including the average speed, the average trip distance and the ratio of in-transit vehicles, etc.   3) Data combination: For the l th segment, according to the traffic survey, a certain percentage of the departing moment data are extracted, and the related PrEVs are assumed to have sojourn behavior.

Then all the departing moment data are classified into the corresponding time segments (from 1 to m).

Then all the departing moment data are classified into the corresponding time segments (from 1 to m).   2) Constraints setting: When it progresses to the l th segment, to improve the accuracy and credibility, several constraints are set.

Before estimating divergence times, a likelihood ratio test was performed on the louse 3-gene data set using PAUP* 4.0b10 [ 62] to determine if the sequence data departed significantly from clocklike behavior.

Because the data departed from multivariate normality (see Table  2) we used full information maximum likelihood parameter estimates with standard errors that are robust to non-normality (i.e., MLR).

Where the spline-interpolated data departed (both positively and negatively) from the Fourier fit by more than a user-specified threshold (see Table 1) the data were again considered unreliable, removed and linearly interpolated from adjacent, reliable values in the spline-fitted series.

This is perhaps unsurprising as our data departed in several ways from the ideal conditions for the fitting of standard factor models with maximum likelihood.

All data departed from normality and were therefore log10 transformed.

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