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Independence is a fundamental concept in the concept of opportunity, such as mathematics and the concept of stochastic processes.
Two events are independent, statistically independent, or stochastically independent if the emergence of one does not affect the probability of another (similarly, does not affect the probability). Similarly, two random variables are independent if the discovery of one does not affect the distribution of opportunities to the other.
When faced with a collection of more than two events, a weak and strong sense of independence needs to be divided. Events are called twoway events if there are two events in the group representing each other, while it means that events are in pairs (or collectively independent) intuitively means that each event is independent of any combination of other events in the group. There is a similar view of the collection of random variations.
The term “collective autonomy” (similar to “collective autonomy”) seems to be the result of clerical choice, simply to distinguish the strong concept of “independent independence” which is a weak point. In highlevel texts of probability theory, mathematics, and stochastic processes, a powerful theory is simply called the name of independence without conversion. It is very powerful as independence means independence in pairs, but not the other way around.