Sentence examples for qualitative assumptions from inspiring English sources

Exact(15)

"Aside from weight ratings and costs, you have to make some qualitative assumptions," said Jeff Turk, a consultant overseeing television buying for Hevesi campaign.

But even on the most generous qualitative assumptions about the value of greater experience, qualifications and age, the Institute for Fiscal Studies has found that the pay premium does not disappear – even in 2006 (before the financial crisis sent private sector wages tumbling), it was 2% for men and 4% for women.

Hence, parameter variations cannot be done for all quantitative values, and also qualitative assumptions are not covered by this approach.

Qualitative assumptions made during the current research have been therefore tested and refined through systematic statistical analyses.

The existence of (positive) solutions of (1.1) has been well known with various qualitative assumptions of the nonlinearity f, see [14, 15] and the references therein.

Still, qualitative assumptions like lifestyle changes can also find direct access in ESS by translating them into quantitative values for model input.

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Similar(45)

By using the combination of statistical data and qualitative causal assumptions, SEM technique was adopted in attempt to test and estimate causal relations.

Following a mixed-method approach, qualitative scenario assumptions are calculated by a quantitative model, which incorporates the analyses on attitude-based mobility types respective pedelec affinities.The results indicate that ambitious promotion of pedelecs significantly contributes to climate change mitigation.

SEM is a statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions.

In Proposition 6, we will explore the effects of different qualitative functional assumptions on the feedback loop dynamics f (u).

Structural equation model (SEM [ 23, 24] is a statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions.

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