Sentence examples for generated means from inspiring English sources

In particular, many remarkable inequalities for the Schwab-Borchardt mean and its generated means can be found in the literature [3 5, 8 11].

As manager of the Cramer Rosenthal McGlynn Mid-Cap Value Fund, he has $4 million invested in shares of Exelon, owner of the Limerick plant, and each megawatt-hour generated means more returns for his investors.

The hypothesis testing function in the HLM software generated means and standard errors based on the CI and AS model 3s, presented in Fig. 5. Figure 5 and both model 3s all show that the differences between CBT and PPT scores were small (ranging from −2.1 to 2.2%) and that scores were not consistently higher in either assessment condition than in the other.

The predictability of these correlations is important for this study – we would expect patterns of news content to reflect geographic, economic and cultural patterns – since it confirms the ability of our approach to use computer generated means to establish highly plausible patterns in news content.

Furthermore, the fact that many thousands of mutants are generated means that multiple individual mice may contain mutations in the same gene, an allelic series (31).

We repeated the simulation 10 000 times and generated means, bootstrap CIs and bootstrap p values for the time per application and overall times.

The respect that his work has generated meant that some historians greeted this week's verdict with a degree of regret, even unease.

The editor of the Polish Express, Tomasz Kowalski, said that regardless of how many had answered the call to strike, the debate that the call had generated meant that "we believe we have already won".

Statistical analysis generated mean, standard deviations, coefficient of variation, correlation matrix and principal components.

archwire generated mean moments of 10.78 Nmm in the central incisor (SD = 0.86).

An example consisting of 640 simulations corresponding to 25 treatment combinations evaluated over 20 randomly generated mean demands is used to identify significant factors on the response variable.