Sentence examples for data well due to from inspiring English sources

Model diagnostics revealed that the non-transformed mean usage did not fit the data well due to a high leverage point (influential point).

While the Poisson regression (which uses a Poisson distribution) is commonly used for analyses of count data, it does not handle over-dispersed data sets well due to the assumption that the variance of counts equals the mean.

In other words, given any two dynamic flux vectors v(t k ) satisfying X ˙ m t k = S v t k, the associated parameter pairs (p I, p D ) may not predict the slope or concentration data equally well, due to differences in the quality of parameter regression for each v(t k ).

This difference in relation to previously published data again could be well due to differences in selection criteria and population heterogeneity between the British (16) and our study.

We found that a mixture model, which selects foreground pixels based on the mixture distribution of RGB channel intensity, did not work well due to biased sampling (data not shown).

This approach helped to achieve faster computational time as well due to the reduced number of data points.

The base of the Agbada Formation and the top of the Akata Formation could not be interpreted from well data due to the shallow depth penetrated by the well.

The Fed has maintained that recent disappointing economic data may well be due to temporary factors - such as poor weather - and that a rate rise before the end of the year could be on the cards.

It is well known that toxicity prediction models trained on public data usually perform less well on proprietary data due to differences in chemical space coverage for reason of confidentiality [29].

It provided (1) a straightforward measure of transient responses in presence of open loop visual stimulation; (2) high data throughput and standardized measurement conditions from process automation; and (3) simplified data analysis due to well-defined testing conditions.

One possible explanation was that the data distributions of the replicated data sets were not well centered due to a lack of data normalization.