Two random variables X and Y are independent if knowing the value of one of them does not change the probabilities for the other one.

Similarly, two random variables are independent if the realization of one does not affect the probability distribution of the other. When dealing with ...

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Two random variables are independent if they convey no information about each other and, as a consequence, receiving information about one of the two does not ... Definition · Independence criterion · More details

A certain manufacturing process produces vacuum tubes whose lifetimes in hours are independent r.v.'s with Negative Exponential distribution with mean 1500 h.

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In probability theory and statistics, a collection of random variables is independent and identically distributed (i.i.d., iid, or IID) if each random ...

A set of random variables having the property that knowing the values of any subset of them does not affect the probabilities of the remaining ones.

Random variables X X and Y Y are independent if and only if the joint distribution factors into the product of the marginal distributions. The definition is in ...

17 февр. 2020 г. · For two random variables to be independent, we treat each assignment to k variables as k events. This guarantee must hold for all value assignments to the ...