I am tired of being looked at with these assumptions in mind.
If there is a problem with these assumptions, OLS fails to give efficient results.
With these assumptions, we calculate the minimum ownership stake that would enable Silbermann and Sharp to have control.
But with these assumptions, the model they looked at showed significant long term risk, particularly to the more expensive oil producers, such as Canadian oils sands companies.
I present a computational model in which all aspects of the language learning problem are reformulated in line with these assumptions.
Instead, they are most likely trying to create a favorable news narrative — and they may fiddle with these assumptions until they get the desired result.
But even with these assumptions, which include a tax rise of nearly 1% of GDP, there remains a gap of 3% of GDP.
However, even with these assumptions good correlation was achieved for the circular-hole specimen data when using the specimen data without stress concentration as a baseline.
We fully agree with these assumptions.
With these assumptions in place, the argument works.
With these assumptions, the forwarding area has a constant shape.
