Sentence examples for different distribution methods from inspiring English sources

Exact(5)

The fact that the two companies were dramatically different in size, sold different kinds of software, used different distribution methods, and targeted different markets and customers didn't seem to faze him or many of his fellow committee members.

Different distribution methods are compared to examine its impact on the statistics, including correlations between droplet source term and gas phase flow variables.

Estimation techniques based on different distribution methods have been used widely for estimating the exogenous variables of forecast models [5, 20].

But there are just different techniques and different distribution methods to get to the fans".

Additional advantages and disadvantages, which were of no relevance to patients, were included for HCPs, which highlighted the impact of the different distribution methods on working practices.

Similar(55)

Meanwhile, Lieberman, from PricewaterhouseCoopers, sees significant growth in another entertainment business that's constantly experimenting with different models, distribution methods and ways of telling stories.

In this paper, different fiber distribution methods are discussed in detail including optical microscope, scanning electron microscopy, fluorescence microscopy and X-ray computed tomography.

The most successful sales teams embrace different lead distribution methods depending on whether they are responding to inbound or outbound leads.

The immediate future will involve us looking at different distribution and promotion methods, digital publishing, art and children's books and growing Safari Festival.

An Italian study comparing different self-sampling distribution methods found that when kits were mailed directly to women, rather than providing women the option to request a kit, the response rate more than doubled from 8.7%to19.6%.6 % [ 36].

The 95% CI around the Kolmogorov-Smirnov D statistic and associated P-value D = 0.39, 95% CI 0.33 to 0.45, P < 0.0001 show that one method resulted in a significantly different distribution than the other method.

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