Sentence examples for methods of attribution from inspiring English sources

Or does figure-skating journalism, like figure-skating judging, have its own folkways and methods of attribution, inscrutable to those who report on government, business or other fraud-prone venues?

One of the most common methods of attribution in the digital marketing industry is based on last click, which means giving credit to the latest channel that the user clicked on before "converting," or making a purchase.

However, most in the market have concluded that they need to move toward new methods of marketing attribution for iOS device based advertising.

Clear reporting of methods and results was a problem in observational studies as well as in RCTs, in particular, the definition of GC exposure and methods of risk attribution.

The table further shows that the criteria for Step 2 were met by both urgency of intervention items (urgency to introduce the method and urgency to develop similar methods), both certainty of attribution items ('Professor Lytgens is the person who saves lives' and 'How certain are you that less people die of lung cancer because of Professor Lytgen's pill/operation?' ), and the time interval.

Additional file 1 provides details on the methods for attribution.

The table also shows that the criteria for step 2 were met by the items urgency to introduce the method and certainty of attribution ('Professor Lytgens is the person who saves lives').

In the step 3 analyses, we explored the effects of the significant explanatory variables (urgency to introduce method and certainty of attribution) on the three appreciation items significant in step 1 (general appreciation, percentage that health insurance should compensate, money allocation to intervention or PSAs) while controlling for the scenario condition.

Here, we describe and test a method of change agent attribution built on four tenets: agents operate on patches rather than pixels; temporal context can provide insight into the agent of change; human interpretation is critical because agent labels are inherently human-defined; and statistical modeling must be flexible and non-parametric.

Since then it has become a popular clustering method which divides data into different groups according to their degree of attribution.

A combination of bootstrap methods and multiple attribution were used to handle uncertainty, such that confidence intervals reflect uncertainty of the parameter in the model [ 14].