Sentence examples for statistics text from inspiring English sources

We note, however, that thermodynamic parameters we obtained using this assumption with excellent error statistics (Text S1, Figure S1, Table S2) are similar to those of α-chymotrypsin [28], a protein that exhibits both similar mass and CD spectrum as myoc-OLF (see Discussion).

In the current version, the authors write that they cut off the data at 3.2 A because of merging statistics (text, Table 1).

Different statistics text books vary widely in their advice regarding desirable N/ k ratios (e.g. Crawley 2007 recommends N > 3 k, while Field 2005 suggests N ≥ (50 + 8 k)), and partly for this lack of consensus, researchers may be unaware of the dangers involved in over-fitting the initial full model (see also Chatfield 1995).

I'm not sure now how we got through that first night, googling statistics, texting and calling family and friends, but most of all wondering how we had ended up in every parent's nightmare – on a child cancer ward at Great Ormond Street Children's Hospital.

Methods for the determination of sample size are described in several statistics texts, such as Altman [ 35], Bland, [ 36], and Armitage, Berry and Matthews [ 37].

In 1603, the first quarto offered a short version made up of 15,983 words of dialogue (the editors are hot on statistics); the text of the second quarto, of 1604, 'enlarged to almost as much again as it was, according to the true and perfect copy', was made up of 28,628 words; finally, in 1623, the Folio text has 27,602 words.

There exist data sets in applications, such as bioinformatics, statistics, and text processing, that are characterized by high dimensionality and moderate size.

If the rank distribution of the real texts and that of the random texts are the same, statistically significant differences between the value of the above statistics in real texts and those of random texts should not be found or be exceptional.

For statistics see main text.

"It's something the BBC is proud to do, together with our comprehensive text, statistics and analysis.

One feature set abstracts the generic statistics between the text pairs, while the other set directly models lexical features based on the traditional bag-of-words model.