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Taylor & Francis
Communications in Statistics - Theory and Methods
Original Item ID
Limit theorems as well as other well-known results in probability and statistics are often based on the distribution of the sums of independent random variables. The concept of sub-independence, which is much weaker than that of independence, is shown to be sufficient to yield the conclusions of these theorems and results. It also provides a measure of dissociation between two random variables which is much stronger than uncorrelatedness.
Hamedani, Gholamhossein, "Sub-Independence: An Expository Perspective" (2013). Mathematics, Statistics and Computer Science Faculty Research and Publications. 165.
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