Sentence examples for data departed from inspiring English sources

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.

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.

Data analysis – which data departed from normality?

All data departed from normality and were therefore log10 transformed.

Effects on performance and pupil data departed from previous findings, and self-reported assessments suggested that positive mood was difficult to sustain.

Before estimating divergence times, likelihood ratio tests were performed using PAUP* 4.0b10s [ 46] to determine if the cyt- b sequence data departed significantly from clocklike behavior.

These data depart significantly from expectations based on probability, which predict that no more than three of the genes would be represented less than twice or more than 14 times.

A further step would be to examine the impact of the survival rates used to generate the synthetic data departing from those assumed in the estimation model, as well as propagating uncertainty in the assumptions about natural history in the estimation procedure.

The actual and predicted data depart dramatically beginning in September 2009, with actual part-time employment 1.2 million below predicted part-time employment by December and averaging 975,000 part-time positions below what was predicted over the months August 2009 to December 2010.

Big data depart from previous data sets in several aspects such as volume, variety and velocity.

Since some statistical tests are applicable only in case the population follows a normal distribution, we applied the Shapiro-Wilk test and created a Q-Q chart to verify whether or not the experiment data departs from linearity before choosing a proper statistical test.