To investigate whether this assumption holds, Greg Kaplan and Justin Weidner of Princeton University and Giovanni Violante of New York University used huge microeconomic datasets to paint a picture of household income and wealth across eight advanced economies.
This paper shows experimentally that this assumption holds for a batch ball mill.
We refer to this as growth persistence (and this assumption holds true from about a $10 million run rate on).
Note that this assumption holds when the backoff window and number of UEs are large.
This assumption holds in the absence of land, ships, or direct solar glint in the frame.
This assumption holds in many situations such as voice traffic, data session, and data network.
This assumption holds provided that the skin deformation is not large and the normal load on the finger is constant.
Only when this assumption holds we can interpret our estimates of the effects of alternative treatments as causal effects.
This assumption holds for many distributions used to model multipath effects, for example, Rayleigh, Rician, and Nakagami fadings.
It is, so far, an open question if this assumption holds true for transitions from school to vocational training.
In practice, this assumption holds well when one of the partials has a much larger amplitude than the other one.
