Note that in social sciences (e.g. economics), probit is often used to model situations where the observed variable y is continuous but takes values between 0 and 1.

Graphs are frequently used to model real-world situations and to solve related problems.

It should be pointed out, though, that as such these constructs are generic, meaning that they can be employed to model situations where the uncertainty is not severe but mild, indeed very mild.

In social psychology, signed graphs have been used to model social situations, with positive edges representing friendships and negative edges enmities between nodes, which represent people (Cartwright and Harary 1956).

There are many other types of errors and distances that can be measured which can be used to model other situations.

It is summarized as "the misuse of games to model real-life situations."

The assumptions of classical queueing theory may be too restrictive to be able to model real-world situations exactly.

Of the two types of games, noncooperative games are able to model situations to the finest details, producing accurate results.

Thus, when modelling certain situations with high Péclet numbers, simpler computational models can be adopted.

Events can be used to model different situations with resources, e.g. temporary leave, illness, vacations, etc.