And there are random terms.
"One answer comes from the central limit theorem, which tells us that averages of many random terms have a roughly Gaussian distribution, provided the terms don't depend too much on one another and aren't too large (don't have heavy tails).
My whole life seems to be written out on innumerable scraps of this or that—I took some notes on Arthur Lovejoy's "The Great Chain of Being," and, for some reason, I wrote a few random terms in no discernible order.
In the utility function of MMNL model, except for observed non-random terms and error terms, unobserved random terms are also involved.
By analogy, the threshold model may be extended by random terms.
The random terms were the additive genetic effect of individual fish and the additional effects common to full-sib groups.
For other situations, where the independence assumption is relaxed, a correlation structure can be modeled by introducing random terms [28].
The correlation, heterogeneity and individual preference heterogeneity of alternatives need to be considered with these random terms.
The marked between tree variation in ρg was well accounted for by addition of random terms to the model.
The correlation of the two individual specific random terms is positive and significant at a 10-% level.
It was designed to relax the independence from irrelevant alternatives (IIA) property while keeping the random terms independently and identically distributed extreme value distributed (McFadden et al., 1978).
