- Mean dependence
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In probability theory, a random variable Y is said to be mean independent of random variable X if an only if E(Y|X) = E(Y) for all x such that ƒ1(x) is not equal to zero. Y is said to be mean dependent if E(Y|X) ≠ μ(y) for some x such that ƒ1(x) is not equal to zero.
Stochastic independence implies mean independence, but the converse is not necessarily true.
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Mean dependence
- Mean dependence
-
In probability theory, a random variable Y is said to be mean independent of random variable X if an only if E(Y|X) = E(Y) for all x such that ƒ1(x) is not equal to zero. Y is said to be mean dependent if E(Y|X) ≠ μ(y) for some x such that ƒ1(x) is not equal to zero.
Stochastic independence implies mean independence, but the converse is not necessarily true.
This probability-related article is a stub. You can help Wikipedia by expanding it.